Requirements Engineer jobs at Fidelity Investments - 2534 jobs

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high‑performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand‑in‑hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production‑grade applications used by millions of users across multiple lines of businesses. In this role, you will Partner with a cross‑functional team of engineers, research scientists, technical program managers, and product managers to deliver AI‑powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi‑tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows: you will evaluate agentic frameworks such as LangGraph, AutoGen, Semantic Kernel, CrewAI and LlamaIndex and then harden/blend patterns that best meet enterprise SLAs so that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end‑to‑end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content‑filter hooks, red‑team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross‑organization architects to drive end‑to‑end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per‑token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto‑scale agents to hit tenant SLAs. Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies. At least 8 years of experience programming with Python, Go, Scala, or Java. Preferred Qualifications 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud). 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen). 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning). 8+ years of experience designing mission‑critical machine learning platforms. 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems. Demonstrated ability to lead and mentor multiple engineering teams and influence cross‑functional stakeholders up to the VP level. Experience developing AI and ML algorithms or technologies (e.g. LLM inference, similarity search and VectorDBs, guardrails, memory) using Python, C++, C#, Java, or Golang. Master's degree in Computer Science, Computer Engineering, or relevant technical field. Experience developing and applying state‑of‑the‑art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost. Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers. Experience leading GenAI or LLM‑Powered application architectures in production. Deep understanding of Responsible AI, data privacy and multi‑tenant security patterns. Experience as a Staff‑plus or Distinguished IC engineer influencing 50+ engineers and C‑suite stakeholders. K8s mastery (multi‑region clusters, service mesh). Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full‑time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part‑time roles will be prorated based upon the agreed upon number of hours to be regularly worked. San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at Capital One Careers website. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to **********************. Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). #J-18808-Ljbffr

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Salaries (San Francisco, CA) $287,800 - $328,500 Salaries (San Jose, CA) $287,800 - $328,500 Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. Recruiting Contact RecruitingAccommodation@capitalone.com #J-18808-Ljbffr

* You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.* Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.* You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.* You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.* You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.* Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies* At least 8 years of experience programming with Python, Go, Scala, or Java* 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)* Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems* Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level* Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang* Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost* Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production* Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

At Truth Systems, we're building the only trust and safety software any organization will ever need. A protection layer for every individual. We're laying that foundation with AI Governance. Our product Charter is an agent that monitors and flags misuse of AI in line with firm policies and client rules in real time. We're building always-on, real-time systems that keep people safe and organizations compliant without slowing down their work. We are: Small and well-funded. We've raised $4M from world-class investors like Gradient Ventures, Lightspeed, The Legaltech Fund, Y Combinator, and Pear VC. We are currently a team of 4. We are hiring thoughtfully, with ~3 people in the next 6 months. Intensely trustful + high ownership. We optimize for impact per person by requiring high ownership from each team member. We hire experts, ambitious problem-solvers, and generally unstoppable people, and we place a lot of trust in them. We prefer short (or no) meetings, full autonomy, and individualized schedules. Your Mission Over the next 12-18 months, you will embed with customers to help firms navigate and uncover risk surfaces within their organizations. This role blends engineering and customer empathy. You'll work directly with clients to understand workflows, translate them into software, and ensure successful adoption. Outcomes Customer integrations from 0 → 1. Lead deployments of our agents and backend systems in live customer environments. Deliver reliable, secure, and fast integrations. Feedback-driven development. Translate client insights into product improvements and new features. Influence our roadmap through real-world usage. Customer Partnership: Collaborate deeply with clients to identify their pain points, propose solutions, and deliver measurable value. Travel for Deployment and Collaboration: Travel to meet customers across the U.S. (e.g., NYC, Atlanta, Chicago, Seattle, Ohio, and more) for implementations, feedback sessions, and training. Competencies Technical and hands-on: You've spent 1+ years building real products in production - shipping code, wrestling with weird APIs, and making things work in messy, real-world stacks. Full-stack curious: You're fluent in TypeScript/JavaScript (React or Next.js for lightweight UIs) and comfortable with at least one backend language like Python for integrations and automations. Deeply empathetic (must be): Both our team and our customers require empathetic and low-ego people. Some of our users' careers depend on our product being ‘right', so trusting and listening to them is our most important skill. Independent and process building (must be): We don't have a lot of structure. You'll build many processes and set standards yourself, and everyone we hire after you will follow them. Adventurous: You're comfortable with the unknown, love building new experiences, and don't mind travel when it helps you get closer to the problem. Our team's roots span 4+ continents - we like working (and learning) with people from everywhere. Why Join Truth Systems Autonomy: You'll have full ownership of what you build. We trust you to make the right calls, set your own pace, and push projects from idea to production without red tape. Output-focused, not input-focused: We care about impact, not hours. Now that is not to say there will not be days when hours don't get long, but you'll be judged by what you deliver and how it moves the needle - not how long you sit in front of a screen. Cutting-edge meets meaningful: You'll be working at the edge of AI - designing systems that redefine how humans interact with intelligence. At Truth Systems, we care deeply about helping knowledge workers trust AI and move them toward safer, more responsible, and transparent use. Logistics Salary: $170K-$250K Equity: 0.3-1% Location: In-person in San Francisco, with regular travel to customer sites across the U.S. Perks: Meals, housing/relocation, equipment, and benefits included Work Authorization: We cannot sponsor visas at this time #J-18808-Ljbffr

Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. This is a full-time role that is hybrid from our San Francisco or Seattle Office We're seeking a Staff ServiceNow Engineer who thrives in a fast-paced environment and enjoys solving complex challenges with elegant technology solutions. In this role, you will develop and enhance key components of our ServiceNow platform-including Employee Center Pro experiences, Now Assist AI capabilities, and automation across our enterprise workflows. You'll collaborate with cross-functional teams to refine requirements, architect durable solutions, and elevate engineering standards through peer reviews and mentorship. This is an opportunity to influence platform strategy, contribute to innovation, and deliver high-impact capabilities that support our growing organization. What you'll do: Design and Develop Solutions: Build, enhance, and maintain scalable solutions within the ServiceNow platform with focus on ITAM (HAM Pro, SAM Pro) , CMDB, Employee Center Pro and Now Assist following ServiceNow's best practices and development standards. Own the Technical Delivery: Lead the full lifecycle of solution development, from requirements analysis and technical design to configuration, scripting, testing, and production deployment. Collaborate Across Teams: Work closely with business stakeholders, product owners, and architects to understand needs, refine requirements, and translate them into scalable, maintainable ServiceNow solutions. Enhance Employee Experience: Configure and customize Employee Center Pro, including content taxonomy, audience targeting, user experience enhancements, and service journeys. Leverage AI/ML Capabilities: Implement and optimize Now Assist features such as generative AI experiences, virtual agent improvements, and intelligent recommendations to elevate platform usability. Ensure Data Accuracy and CMDB Health: Drive CMDB data model governance, enforce relationship and dependency rules, and maintain alignment with the Common Service Data Model (CSDM). Integrate Systems and Automate Workflows: Design and implement integrations between ServiceNow and external systems (e.g., procurement, cloud platforms, monitoring tools) using IntegrationHub, REST, and APIs. Perform Peer Reviews: Conduct and participate in code and configuration reviews, ensuring adherence to coding standards, maintainability, and platform performance. Champion Platform Quality: Establish and uphold development, testing, and release management best practices in collaboration with platform owners and governance teams. Provide Technical Updates and Guidance: Communicate technical progress, design decisions, and risks to project stakeholders and leadership in a clear and structured manner. Support Continuous Improvement: Identify opportunities to optimize processes, automate manual workflows, and enhance ServiceNow usability and performance. Mentor and Lead by Example: Support junior developers through technical guidance, documentation, and promoting a culture of engineering excellence. What you'll need: 7+ years of hands‑on experience designing, developing, and maintaining Servicenow solutions in enterprise‑scale environments. Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent work experience). Deep understanding of HAM Pro, SAM Pro,CMDB modules, including lifecycle management, discovery, reconciliation, and compliance. Strong experience configuring Employee Center Pro including content creation, portal configuration, taxonomy design, search optimization, and UX enhancements. Working knowledge of Now Assist, generative AI capabilities, conversational experiences, and AI‑driven automation within the ServiceNow platform. Proven ability to write clean, modular, and maintainable code aligned with ServiceNow's technical and security best practices. Skilled in engaging with business partners, product owners, and architects to align technical solutions with strategic goals. Experience in peer code reviews, test planning, debugging, and performance tuning to ensure solution reliability and scalability. Expertise in Common Service Data Model (CSDM) and its application within CMDB governance and data quality frameworks. Strong background working in Agile/Scrum environments, managing backlogs, and delivering iterative platform enhancements. Ability to convey complex technical concepts to both technical and non‑technical stakeholders; excellent documentation and presentation skills. Passion for staying current on ServiceNow platform updates, new features, and emerging ServiceNow trends. ServiceNow Certified System Administrator (CSA) preferred. Nice to have: ServiceNow Certified Application Developer Certified Implementation Specialist (CIS) in ITAM or CMDB Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $118,400.00 - $203,500.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles. Apply for this position Staff ServiceNow Engineer Information Technology #J-18808-Ljbffr

A technology firm focused on AI safety is seeking a candidate for a mission-driven role that melds engineering with customer empathy. You will be responsible for leading client integrations of trust and safety software, ensuring successful product adoption while also translating client feedback into actionable improvements. This in-person role is based in San Francisco and includes regular travel across the U.S. Competitive salary and equity are offered. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It's time to build. We are looking for a skilled MES Engineer to join our Manufacturing team. In this hybrid role, you will lead the integration and optimization of our MES infrastructure while contributing your automation controls expertise to support a tightly connected, data-rich manufacturing environment. You will be instrumental in bridging the digital and physical layers of our production systems-connecting MES platforms with shop floor controls (work stations, PLCs, sensors, testers, motion systems) to deliver traceability, operational visibility, and high system reliability. This is a hands-on engineering position that spans system architecture, controls programming, MES development, and factory floor integration. Responsibilities: * Design, configure, and maintain the MES infrastructure with a focus on scalability, reliability, and real-time data availability. * Integrate MES with new and existing production equipment, work stations, test stations, automation cells, and data acquisition systems. * Develop and maintain robust UI interfaces, ensuring full traceability, error handling, and synchronization of production events. * Build real-time dashboards and data pipelines to monitor OEE, system status, test results, and production KPIs. * Collaborate with manufacturing engineers to support new process introductions, controls programming, commissioning, automation changes, and MES-related troubleshooting. * Create and maintain internal documentation for MES standards, architecture, and integration workflows. * Ensure data integrity and high MES availability in a fast-paced, high-mix production environment. Requirements: * 5+ years of experience in MES systems engineering, industrial automation, or controls engineering in a manufacturing setting. * In-depth understanding of ISA-95 MES architecture and its integration with automation equipment. * Strong experience with PLCs (e.g., Allen-Bradley), industrial controls, and HMI/SCADA platforms (e.g., Ignition, Sepasoft) * Hands-on experience with industrial communication protocols (e.g., OPCUA, EtherNet/IP, EtherCAT). * Proven ability to troubleshoot across software, hardware, and control systems domains. * Proficient in scripting (e.g., Python, structured text). * Familiarity with traceability, OEE and digital twins. Bonus Qualifications: * Bachelor's or Master's in Industrial Engineering, Computer Engineering, Mechatronics, or a related field. * Ignition Certification/ SEPASOFT MES CERTIFICATION * ERP/PLM Experience, OT/IT, Cyber Security * CATIA V6 Experience The US base salary range for this full-time position is between $145,000 and $220,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. We are seeking a New Product Introduction (NPI) Engineer to oversee and drive the successful execution of prototype and pilot production builds. This role requires a strong leader who can coordinate cross-functional teams, manage materials and resources, maintain schedules, and ensure a smooth production process from start to finish. The ideal candidate thrives in a fast-paced environment and has a hands-on approach to problem-solving. Responsibilities: Manage the MBOM (Manufacturing Bill of Materials): Ensure accuracy, completeness, and availability of all components needed for the build. Change Management: Perform or coordinate change impact analysis, track implementation of ECNs and design changes. Oversee Prototype Builds: Track and coordinate the arrival of all required materials, consumables, and staffing resources necessary for the build. Act as primary DRI for coordinating all build activities. Develop & Maintain Build Schedule: Create and enforce timelines, ensuring alignment with production goals and deadlines. Record & Track Issues: Maintain detailed documentation of all issues encountered during the build, from component failures to process inefficiencies. Drive Issue Resolution: Ensure all Directly Responsible Individuals (DRIs) address and resolve issues in a timely manner, pushing for root cause analysis and corrective actions. Requirements: Bachelor's degree in Engineering, Manufacturing, Supply Chain, or a related field (or equivalent experience). 3+ years of experience in NPI, manufacturing, or project management. Strong understanding of manufacturing processes, BOM management, and supply chain logistics. Understanding of PLM/ERP/MRP systems, scheduling tools, and data analysis. Strong communication and leadership skills with the ability to drive accountability. The US base salary range for this full-time position is between $135,000 - $200,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Titan is an AI holding company transforming IT services with its Augmented AI platform. We acquire and partner with the best Managed Service Providers (MSPs) and embed AI at the core of their operations, empowering technicians to work faster, smarter, and more strategically. Our augmented AI platform enables MSPs to scale like technology companies while delivering faster resolutions, better uptime, and more proactive, personalized support for their customers. In under a year, we've raised over $70M from General Catalyst, acquired market-leading MSPs like RFA, and deployed agents seeing real-world impact to productivity. Our team bring together AI product expertise from Scale AI, Google, MIT, and Stanford with private equity experience from H.I.G. Capital and seasoned MSP executives who have led some of the industry's top providers. Joining Titan means helping to redefine how work is done in IT Services and building a $100B company. About The Role: As an AI Engineer at Titan, you'll play a pivotal role in shaping the future of AI-powered IT service delivery. You'll work across the stack to build intuitive, high-impact products that blend human expertise with autonomous AI agents, transforming how managed service providers (MSPs) operate. This is an opportunity to join an early-stage team, have meaningful product ownership, and help define the engineering culture as we scale. What You Will Do: Design, build, and optimize AI models that enhance automation and decision-making for IT operations. Work closely with design and product teams to build user-centric experiences that empower technicians and enhance service delivery. Research and experiment with cutting-edge AI techniques to improve model accuracy and performance. Collaborate with AI and backend engineers to integrate our AI-powered platform into customer-facing tools. Make key technical decisions around model architecture, training infrastructure, and AI best practices. Ship fast and iterate, balancing speed with quality in a fast-paced, startup environment. Who You Are: 4+ years of experience in AI/ML engineering, with hands-on experience in training, deploying, and optimizing models. Comfortable working with large datasets and deploying models in production environments. Startup mindset-comfortable with ambiguity, eager to take ownership, and ship quickly. Experience working closely with designers and product managers to bring ideas to life. Bonus: Experience with LLMs, fine-tuning, prompting, model distillation, or AI agents is a plus.

Join Fintech in Tampa as a .Net Engineer! We are seeking a skilled and motivated Software Engineer (.NET) to join our development team. The ideal candidate will be responsible for full feature development and minor enhancements, working within the application engineering team. This role requires designing, developing, testing, and maintaining high-quality software solutions using the Microsoft .NET framework, with opportunities to mentor junior engineers. The position demands strong problem-solving skills, attention to detail, and the ability to work collaboratively across cross-functional teams. Key Responsibilities: Lead full feature development and implementation of minor enhancements within assigned feature teams Responsible for designing, developing, testing, and maintaining scalable web applications and services using C#, .NET Core, and related Microsoft technologies Implement full-stack solutions combining .NET backend services with modern frontend frameworks, particularly React with Bit.dev component system Design and implement RESTful API endpoints and microservices architecture for internal and external integrations with focus on performance and scalability Work closely with cross-functional teams including product managers, designers, QA, and DevOps to deliver high-quality software solutions aligned with business goals Implement comprehensive automated testing strategies including unit tests, integration tests, and end-to-end testing Troubleshoot and resolve complex application issues and bugs with systematic debugging approaches Provide application support and work collaboratively with customer support teams to resolve customer-reported issues and system problems Optimize applications for maximum performance, scalability, reliability, and security Implement security best practices including Auth0 integration and secure coding standards. Work with databases including Oracle, PostgreSQL and MongoDB Participate in code reviews and provide constructive technical feedback to team members Maintain comprehensive documentation for code, processes, software architecture, and technical decisions Stay current with industry trends, emerging technologies, and best practices in .NET development Contribute to vendor management activities including technical evaluations and integration support Qualifications: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent professional experience) 3-5 years of experience in .NET development (C#, .NET Core, Entity Framework, LINQ) Strong proficiency in full-stack development with .NET backend technologies Experience with modern frontend technologies (HTML5, CSS3, JavaScript, TypeScript, React) Proven experience with RESTful APIs, web services, and microservices architecture Solid experience with SQL and NoSQL databases including Oracle, MongoDB, and PostgreSQL Strong understanding of object-oriented programming principles and design patterns Proficiency in version control systems (Git) and collaborative development workflows Experience with automated testing frameworks and test-driven development practices Understanding of Agile/Scrum development methodologies and cross-functional team collaboration Demonstrated ability to mentor junior developers and share technical knowledge Experience with performance optimization techniques and application tuning Preferred: Microsoft Azure cloud platform experience and certification Experience with advanced React development and component-based architecture (Bit.dev) Familiarity with CI/CD pipelines, DevOps practices, and Azure DevOps Experience with Entity Framework Core, Dapper, or other ORM tools Knowledge of microservices architecture and containerization (Docker, Kubernetes) Experience with Auth0 authentication and authorization patterns Understanding of financial technology domain and payment processing systems Experience with message queuing systems (Apache Kafka) Knowledge of monitoring and observability tools (Application Insights, Grafana) Microsoft certifications (Azure Developer Associate, .NET certifications) Experience with vendor integration and third-party API management Soft Skills: Strong collaboration and teamwork abilities across cross-functional teams Clear technical communication skills with both technical and non-technical stakeholders Conflict resolution capabilities within team environments Mentoring and knowledge sharing skills with junior team members Adaptability to changing requirements and evolving business needs Customer focus and quality mindset in solution delivery Cross-functional relationship building and stakeholder management Strong problem-solving and analytical abilities with systematic approaches Self-motivated with passion for continuous learning and professional development Ability to manage multiple tasks and projects efficiently with competing priorities Proactive approach in taking end-to-end responsibility for features and modules Effectiveness in distributed or remote team environments Vendor Management: Direct communication with vendor support teams for technical issues and integration challenges Active participation in vendor evaluation sessions and technology assessment processes Provide technical feedback on vendor tools, services, and API implementations Document vendor-related processes, integration procedures, and technical specifications Support procurement decisions with technical recommendations and risk assessments Our Benefits: Hybrid Work Employer Matched 401K Company Paid Medical Insurance Option for Employee and Dependent Children Company Paid Dental Insurance for Employee Company Paid Vision Insurance for Employee Company Paid Long and Short-Term Disability Company Paid Life and AD&D Insurance 18 Paid Vacation Days a Year Six Paid Holidays Employee Recognition Programs Holiday Bonus Incentive Compensation Community Outreach Opportunities Business Casual Dress Code About Fintech: Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 years to automating invoice processing between retail and hospitality businesses, and their supply chain partners. Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this sector. Its flagship product, PaymentSource , was first built for the alcohol industry to provide invoice payment automation between alcohol distributors and their customers across all 50 states. Today, it is utilized by over 267,000 businesses nationwide for invoice payment and collection associated with all B2B business transactions. This proven platform automates invoice payment, streamlines payment collection, and facilitates comprehensive data capture for over 1.1 million business relationships. Recognizing operational hurdles, Fintech expanded its payment capabilities to include scan-based trading/consignment selling for its vendors and retailers and built an advanced CRM tool with functionality to fortify vendor, supplier, and distributor field execution, addressing diverse profit center challenges. For more information about Fintech and its range of solutions, please visit **************** Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech's management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. Fintech is a Drug-Free Workplace. We E-Verify.

Join Fintech in Tampa as a Java Engineer! We are seeking an experienced and motivated Java Software Engineer to join our dynamic engineering team. This role is ideal for a professional with 3-5 years of software development experience who is passionate about building scalable, high-quality applications in the financial technology domain. The successful candidate will work on full-stack development projects, and contribute to our mission of modernizing payment systems in the alcohol beverage industry. Key Responsibilities: Design, develop, and maintain enterprise-level Java applications and microservices. Design and implement RESTful APIs and web services for internal and external integrations Work with databases including PostgreSQL, and Oracle. Participate in the complete software development lifecycle including design, implementation, testing, and deployment Write clean, maintainable, and efficient code following best practices and coding standards Implement automated testing strategies including unit tests, integration tests, and end-to-end testing Collaborate with cross-functional teams including QA, DevOps, and Product Management Support and maintain legacy applications including troubleshooting and enhancements. Participate in code reviews and provide constructive feedback to team members Optimize application performance and troubleshoot complex technical issues Work with cloud platforms, primarily Microsoft Azure, for deployment and scaling Document technical designs, processes, and system architectures Stay current with emerging technologies and contribute to technical decision-making Support vendor management activities including technical evaluations and integration support Qualifications: Bachelor's degree in Computer Science, Information Technology, Engineering, or related field 3-5 years of professional software development experience Strong proficiency in Java and the Java ecosystem (Spring Framework, Spring Boot, Maven/Gradle) Solid understanding of RESTful API design and implementation Familiarity with HTML, CSS, JavaScript, and basic web development concepts Experience with relational databases (PostgreSQL, Oracle) and SQL optimization Familiarity with NoSQL databases (MongoDB) and data modeling concepts Experience with automated testing frameworks (JUnit, TestNG, Jest, Cypress) Proficiency with version control systems (Git) and branching strategies Understanding of object-oriented programming principles and design patterns Experience with Agile/Scrum development methodologies Knowledge of security best practices and authentication/authorization patterns Preferred: Experience with microservices architecture and containerization (Docker, Kubernetes) Familiarity with cloud platforms, particularly Microsoft Azure Knowledge of message queuing systems (Apache Kafka) Experience with CI/CD pipelines and DevOps practices Understanding of financial technology domain concepts and payment processing Knowledge of data streaming and ETL processes (Apache NiFi, Apache Spark) Familiarity with monitoring and observability tools (Application Insights, Grafana) Soft Skills: Strong collaboration and teamwork abilities Clear technical communication skills with both technical and non-technical stakeholders Conflict resolution skills within team environments Mentoring and knowledge sharing capabilities Adaptability to changing requirements and business needs Cross-functional relationship building and stakeholder management Problem-solving and analytical thinking skills Leadership potential and initiative-taking abilities Vendor Management: Direct communication with vendor support teams for technical issues and integrations Provide technical feedback on vendor tools, services, and API implementations Document vendor-related processes and integration procedures Support procurement decisions with technical recommendations and risk assessment Our Benefits: Hybrid Work Employer Matched 401K Company Paid Medical Insurance Option for Employee and Dependent Children Company Paid Dental Insurance for Employee Company Paid Vision Insurance for Employee Company Paid Long and Short-Term Disability Company Paid Life and AD&D Insurance 18 Paid Vacation Days a Year Six Paid Holidays Employee Recognition Programs Holiday Bonus Incentive Compensation Community Outreach Opportunities Business Casual Dress Code About Fintech: Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 years to automating invoice processing between retail and hospitality businesses, and their supply chain partners. Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this sector. Its flagship product, PaymentSource , was first built for the alcohol industry to provide invoice payment automation between alcohol distributors and their customers across all 50 states. Today, it is utilized by over 267,000 businesses nationwide for invoice payment and collection associated with all B2B business transactions. This proven platform automates invoice payment, streamlines payment collection, and facilitates comprehensive data capture for over 1.1 million business relationships. Recognizing operational hurdles, Fintech expanded its payment capabilities to include scan-based trading/consignment selling for its vendors and retailers and built an advanced CRM tool with functionality to fortify vendor, supplier, and distributor field execution, addressing diverse profit center challenges. For more information about Fintech and its range of solutions, please visit **************** Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech's management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. Fintech is a Drug-Free Workplace. We E-Verify.

Join Fintech in Tampa as a .Net Engineer! We are seeking a skilled and motivated Software Engineer (.NET) to join our development team. The ideal candidate will be responsible for full feature development and minor enhancements, working within the application engineering team. This role requires designing, developing, testing, and maintaining high-quality software solutions using the Microsoft .NET framework, with opportunities to mentor junior engineers. The position demands strong problem-solving skills, attention to detail, and the ability to work collaboratively across cross-functional teams. Key Responsibilities: * Lead full feature development and implementation of minor enhancements within assigned feature teams * Responsible for designing, developing, testing, and maintaining scalable web applications and services using C#, .NET Core, and related Microsoft technologies * Implement full-stack solutions combining .NET backend services with modern frontend frameworks, particularly React with Bit.dev component system * Design and implement RESTful API endpoints and microservices architecture for internal and external integrations with focus on performance and scalability * Work closely with cross-functional teams including product managers, designers, QA, and DevOps to deliver high-quality software solutions aligned with business goals * Implement comprehensive automated testing strategies including unit tests, integration tests, and end-to-end testing * Troubleshoot and resolve complex application issues and bugs with systematic debugging approaches * Provide application support and work collaboratively with customer support teams to resolve customer-reported issues and system problems * Optimize applications for maximum performance, scalability, reliability, and security * Implement security best practices including Auth0 integration and secure coding standards. * Work with databases including Oracle, PostgreSQL and MongoDB * Participate in code reviews and provide constructive technical feedback to team members * Maintain comprehensive documentation for code, processes, software architecture, and technical decisions * Stay current with industry trends, emerging technologies, and best practices in .NET development * Contribute to vendor management activities including technical evaluations and integration support Qualifications: * Bachelor's degree in Computer Science, Engineering, or related field (or equivalent professional experience) * 3-5 years of experience in .NET development (C#, .NET Core, Entity Framework, LINQ) * Strong proficiency in full-stack development with .NET backend technologies * Experience with modern frontend technologies (HTML5, CSS3, JavaScript, TypeScript, React) * Proven experience with RESTful APIs, web services, and microservices architecture * Solid experience with SQL and NoSQL databases including Oracle, MongoDB, and PostgreSQL * Strong understanding of object-oriented programming principles and design patterns * Proficiency in version control systems (Git) and collaborative development workflows * Experience with automated testing frameworks and test-driven development practices * Understanding of Agile/Scrum development methodologies and cross-functional team collaboration * Demonstrated ability to mentor junior developers and share technical knowledge * Experience with performance optimization techniques and application tuning Preferred: * Microsoft Azure cloud platform experience and certification * Experience with advanced React development and component-based architecture (Bit.dev) * Familiarity with CI/CD pipelines, DevOps practices, and Azure DevOps * Experience with Entity Framework Core, Dapper, or other ORM tools * Knowledge of microservices architecture and containerization (Docker, Kubernetes) * Experience with Auth0 authentication and authorization patterns * Understanding of financial technology domain and payment processing systems * Experience with message queuing systems (Apache Kafka) * Knowledge of monitoring and observability tools (Application Insights, Grafana) * Microsoft certifications (Azure Developer Associate, .NET certifications) * Experience with vendor integration and third-party API management Soft Skills: * Strong collaboration and teamwork abilities across cross-functional teams * Clear technical communication skills with both technical and non-technical stakeholders * Conflict resolution capabilities within team environments * Mentoring and knowledge sharing skills with junior team members * Adaptability to changing requirements and evolving business needs * Customer focus and quality mindset in solution delivery * Cross-functional relationship building and stakeholder management * Strong problem-solving and analytical abilities with systematic approaches * Self-motivated with passion for continuous learning and professional development * Ability to manage multiple tasks and projects efficiently with competing priorities * Proactive approach in taking end-to-end responsibility for features and modules * Effectiveness in distributed or remote team environments Vendor Management: * Direct communication with vendor support teams for technical issues and integration challenges * Active participation in vendor evaluation sessions and technology assessment processes * Provide technical feedback on vendor tools, services, and API implementations * Document vendor-related processes, integration procedures, and technical specifications * Support procurement decisions with technical recommendations and risk assessments Our Benefits: * Hybrid Work * Employer Matched 401K * Company Paid Medical Insurance Option for Employee and Dependent Children * Company Paid Dental Insurance for Employee * Company Paid Vision Insurance for Employee * Company Paid Long and Short-Term Disability * Company Paid Life and AD&D Insurance * 18 Paid Vacation Days a Year * Six Paid Holidays * Employee Recognition Programs * Holiday Bonus * Incentive Compensation * Community Outreach Opportunities * Business Casual Dress Code About Fintech: Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 years to automating invoice processing between retail and hospitality businesses, and their supply chain partners. Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this sector. Its flagship product, PaymentSource, was first built for the alcohol industry to provide invoice payment automation between alcohol distributors and their customers across all 50 states. Today, it is utilized by over 267,000 businesses nationwide for invoice payment and collection associated with all B2B business transactions. This proven platform automates invoice payment, streamlines payment collection, and facilitates comprehensive data capture for over 1.1 million business relationships. Recognizing operational hurdles, Fintech expanded its payment capabilities to include scan-based trading/consignment selling for its vendors and retailers and built an advanced CRM tool with functionality to fortify vendor, supplier, and distributor field execution, addressing diverse profit center challenges. For more information about Fintech and its range of solutions, please visit **************** Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech's management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. Fintech is a Drug-Free Workplace. We E-Verify.

Since 1996, epay, a business segment of Euronet, has been at the center of connecting local and global brands to consumers. Our capabilities, platforms, products, and solutions cater to the changing consumer demand for content and payments in categories such as mobile, gaming, and entertainment. We are looking for a pure technical builder-someone who thrives in a fast-moving environment and wants to get their hands in the latest AI technology. We're seeking an AI Engineer with a deep, practical understanding of modern AI. You will be writing code, experimenting with new models, and building production-grade AI agents. This is a hybrid role located in Leawood, KS. What You'll Do Build & Deploy: Architect and code end-to-end AI applications. You will move beyond simple API calls to build robust systems using RAG (Retrieval-Augmented Generation), vector databases, and agentic workflows. Engineer AI Agents: Develop autonomous agents capable of complex reasoning, tool use, and decision-making to automate varied business workflows. Optimize & Fine-Tune: Experiment with prompt engineering strategies, context window management, and model fine-tuning to maximize performance and accuracy. Bridge the Gap: Translate "raw AI" capabilities into reliable software features. You will work with APIs (Flask/FastAPI), databases, and backend logic to integrate AI models into real-world products. Foster Expertise: Act as a technical beacon for AI within the company. While this is not a management role, you will help upskill the engineering team by demonstrating best practices and sharing knowledge on the latest AI advancements. Requirements Concrete Experience: Experience building production AI applications. Complexity Management: Demonstrated ability to manage high levels of complexity. Strong Code: Proficiency in Python and AI frameworks. You should be comfortable writing production-ready code, managing dependencies, building REST APIs (Flask/FastAPI), etc. LLM Native: Hands-on experience with the modern AI stack. You should know your way around tools like LangChain and the OpenAI/Anthropic APIs. Applied AI Skills: You possess a full-spectrum understanding of AI. While versed in LLM architectures (RAG, Agents, Vector Search), you would also be comfortable with feature engineering and building classic machine learning models (regression, classification, clustering) for structured data. You know how LLMs are trained and may have trained or fine-tuned a language model yourself. Development Background: Proficiency with git, docker, experience with cloud compute. Background in traditional software engineering is a bonus. Local Presence: You must be willing to commute to our Leawood, KS office. Benefits 401(k) Plan Health/Dental/Vision Insurance Employee Stock Purchase Plan Company-paid Life Insurance Company-paid disability insurance Tuition Reimbursement Paid Time Off Paid Volunteer Days Paid Holidays Casual Office Attire Plus many more employee perks & incentives! We are an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Job Description Since 1996, epay, a business segment of Euronet, has been at the center of connecting local and global brands to consumers. Our capabilities, platforms, products, and solutions cater to the changing consumer demand for content and payments in categories such as mobile, gaming, and entertainment. We are looking for a pure technical builder-someone who thrives in a fast-moving environment and wants to get their hands in the latest AI technology. We're seeking an AI Engineer with a deep, practical understanding of modern AI. You will be writing code, experimenting with new models, and building production-grade AI agents. This is a hybrid role located in Leawood, KS. What You'll Do Build & Deploy: Architect and code end-to-end AI applications. You will move beyond simple API calls to build robust systems using RAG (Retrieval-Augmented Generation), vector databases, and agentic workflows. Engineer AI Agents: Develop autonomous agents capable of complex reasoning, tool use, and decision-making to automate varied business workflows. Optimize & Fine-Tune: Experiment with prompt engineering strategies, context window management, and model fine-tuning to maximize performance and accuracy. Bridge the Gap: Translate "raw AI" capabilities into reliable software features. You will work with APIs (Flask/FastAPI), databases, and backend logic to integrate AI models into real-world products. Foster Expertise: Act as a technical beacon for AI within the company. While this is not a management role, you will help upskill the engineering team by demonstrating best practices and sharing knowledge on the latest AI advancements. Requirements Concrete Experience: Experience building production AI applications. Complexity Management: Demonstrated ability to manage high levels of complexity. Strong Code: Proficiency in Python and AI frameworks. You should be comfortable writing production-ready code, managing dependencies, building REST APIs (Flask/FastAPI), etc. LLM Native: Hands-on experience with the modern AI stack. You should know your way around tools like LangChain and the OpenAI/Anthropic APIs. Applied AI Skills: You possess a full-spectrum understanding of AI. While versed in LLM architectures (RAG, Agents, Vector Search), you would also be comfortable with feature engineering and building classic machine learning models (regression, classification, clustering) for structured data. You know how LLMs are trained and may have trained or fine-tuned a language model yourself. Development Background: Proficiency with git, docker, experience with cloud compute. Background in traditional software engineering is a bonus. Local Presence: You must be willing to commute to our Leawood, KS office. Benefits 401(k) Plan Health/Dental/Vision Insurance Employee Stock Purchase Plan Company-paid Life Insurance Company-paid disability insurance Tuition Reimbursement Paid Time Off Paid Volunteer Days Paid Holidays Casual Office Attire Plus many more employee perks & incentives! We are an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, genetic information, protected veteran status, or any other characteristic protected by law.