Requirements engineer jobs in Vacaville, CA

Compensation Type: Hourly Highgate Hotels: Highgate is a leading real estate investment and hospitality management company with over $15 billion of assets under management and a global portfolio of more than 400 hotels spanning North America, Europe, the Caribbean, and Latin America. With a 30-year track record as an innovator in the hospitality industry, this forward-thinking company provides expert guidance through all stages of the property cycle, from planning and development through recapitalization or disposition. Highgate continues to demonstrate success in developing a diverse portfolio of bespoke lifestyle hotel brands, legacy brands, and independent hotels and resorts, featuring contemporary programming and digital acumen. The company utilizes industry-leading revenue management tools that efficiently identify and predict evolving market dynamics to drive outperformance and maximize asset value. With an executive team of seasoned hospitality leaders and corporate offices worldwide, Highgate is a trusted partner for top ownership groups and major hotel brands. **************** Location: Overview: The Engineer, Level 1, is responsible for ensuring that the property is maintained in the best possible condition at all times with the least amount of inconvenience to customers and employees. Responsibilities: Make repairs to hotel air conditioning system: change filters, clean coils, replace motors. Perform preventive maintenance on all equipment (i.e. boilers, chillers, HVAC-Heating Ventilation and Air Conditioning, electrical, etc.). Take required readings on equipment. Test cooling tower and record readings. Replace and program televisions as needed. Replace light switches, receptacles, light bulbs and fixtures. Perform furniture repair. Replace and repair pumps. Perform plumbing repairs (i.e. clogged drains, copper pipe, change washers, change handles, drain fittings, etc). Understand and be able to read blueprints and wiring diagrams. Trace and repair all types of water lines. Troubleshoot and repair kitchen equipment. Maintain repair and preventive maintenance records. Perform and maintain work to local, state and Federal codes. Test, clean and repair swimming pools and spas. Paint designated areas. Repair and finish sheet rock. Repair all types of wall coverings. Repair and program hotel electronic lock system. Qualifications: High School diploma or equivalent and/or experience in a hotel or a related field required. At least one year of progressive experience in a hotel or related field preferred. Trade school and/or College course work in related field helpful. Flexible and long hours sometimes required. Heavy work - Exerting in excess of 100 pounds of force occasionally, and/or in excess of 50 pounds of force frequently and/or in excess of 20 pounds Must be able to effectively communicate both verbally and written, with all level of employees and guests in an attentive, friendly courteouse and service oriented manner. Must be effective at listening to, understanding, and clarifying concerns raised by employees and guests. Must be able to multitask and prioritize departmental functions to meet deadlines. Approach all encounters with guests and employees in an attentive, friendly, courteous and service-oriented manner. Attend all hotel required meetings and trainings. Maintain regular attendance in compliance with Highgate Hotel Standards, as required by scheduling, which will vary according to the needs of the hotel. Maintain high standards of personal appearance and grooming, which includes wearing the proper uniform and nametag. Comply with Highgate Hotel Standards and regulations to encourage safe and efficient hotel operations. Maximize efforts towards productivity, identify problem areas and assist in implementing solutions. Must be effective in handling problems, including anticipating, preventing, identifying and solving problems as necessary. Must be able to understand and apply complex information, data, etc. from various sources to meet appropriate objectives. Must be able to cross-train in other hotel related areas. Must be able to maintain confidentiality of information. Must be able to show initiative, including anticipating guest or operational needs. Perform other duties as requested by management.

Compensation Type: Hourly Highgate Hotels: Highgate is a premier real estate investment and hospitality management company widely recognized as an innovator in the industry. Highgate is the dominant player in U.S. gateway markets including New York, Boston, Miami, San Francisco and Honolulu, with a rapidly expanding presence in Europe, Latin America, and the Caribbean. Highgate's portfolio of global properties represents an aggregate asset value exceeding $20B and generates over $5B in cumulative revenues. The company provides expert guidance through all stages of the hospitality property cycle, from planning and development through recapitalization or disposition. Highgate also has the creativity and bandwidth to develop bespoke hotel brands and utilizes industry-leading proprietary revenue management tools that identify and predict evolving market dynamics to drive out performance and maximize asset value. With an executive team consisting of some of the industry's most experienced hotel management leaders, the company is a trusted partner for top ownership groups and major hotel brands. Highgate maintains corporate offices in London, New York, Dallas, and Seattle. Location: Overview: Respond and attend to guest repair requests. Communicate with guests/customers to resolve maintenance issues. Perform preventive maintenance on tools and kitchen and mechanical room equipment, including cleaning and lubrication. Visually inspect tools, equipment, or machines. Responsibilities: Assist with the operation maintenance and repair of equipment. Change out light bulbs; perform preventative maintenance for guest rooms to include: vinyl repair touch up paint minor furniture repair tub caulking tile repairs etc. Perform preventative maintenance for ice machines refrigerators kitchen equipment laundry equipment HVAC guestrooms meeting rooms the swimming pool and hot tub. Perform plumbing repair laundry equipment repair preventative maintenance on all exhaust fans and supply; monitor energy conservation; repair vacuum cleaners and any other small equipment upon request. Immediately follow up on any alarms to determine the exact location and cause - determine emergency status and report to the Front Desk with findings. Perform other tasks/jobs as assigned by the supervisor or manager. Qualifications: Experience in a hotel or a related field preferred. High School diploma or equivalent required. Licensed in a trade preferred (plumbing electrical HVAC carpentry etc.). Must have a valid driver's license for the applicable state. Must have an acceptable MVR (Motor Vehicle Driving Record) property specific.

Founding Engineer | San Francisco (Onsite) Salary: $160,000 - $225,000 We're looking for a Founding Engineer to help take a hypergrowth startup from early pilots to full enterprise deployments, scaling tens of millions in automated orders per month. This is a hands-on role for builders who thrive on high-impact, technically challenging projects. What You'll Do Ship high-quality code and own end-to-end projects, including LLM orchestration pipelines, real-time ERP integrations, workflow automation, and user-facing tools Work onsite with customers (warehouses, offices, factories) to understand workflows and build empathy-driven solutions Design and optimize scalable ML and AI systems for production Shape technical strategy and infrastructure for a startup transforming the $9T+ global food supply chain Tech Stack Python | Pandas | NumPy | Scikit-learn | HTML/CSS | JavaScript | React.js | Next.js | WebSockets | SQL | AWS | GCP | Azure | LangChain | LlamaIndex About You 2-5 years' experience in hypergrowth startups (Seed to Series B) Experience building production-grade AI agents and workflow systems Proficiency in Python, data science libraries, and Next.js for frontend Experience with cloud infrastructure (AWS, GCP, Azure) and GPU optimization Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex) Bonus: previous founder experience or exceptional extracurricular achievements Why This Matters You'll play a defining role in transforming one of the world's largest, most overlooked industries, reducing waste, lowering costs, and making food more accessible worldwide. Interested? If you're a high-caliber builder ready to work onsite on technically demanding and strategically critical projects, get in touch to discuss this opportunity further.

Job Title: LLM Engineer (Contract) Company: Big Four Client Work Authorization: U.S. Citizen or Green Card Holder Pay Rate: Up to $90 per hour (W2), depending on experience Duration: 1 Month (with possible extension) Overview: We are seeking a highly experienced LLM Engineer Contractor to support short-term, high-impact work focused on building, optimizing, and deploying large language models at one of our Big Four clients. The ideal candidate has deep technical expertise across modern LLM architectures, inference systems, and applied machine-learning workflows. This role is fast-paced and hands-on, requiring strong research skills, engineering excellence, and the ability to collaborate across product, data, and ML operations teams. The contractor will contribute directly to model development, performance optimization, and the deployment of LLM-backed features into production environments. Key Responsibilities: Model Development & Optimization: Design, train, fine-tune, and evaluate LLMs for performance, efficiency, safety, and reliability. Optimize models through techniques such as transfer learning, RLHF, low-rank adaptation (LoRA), quantization-aware training, and distillation. Conduct rigorous benchmarking and ensure alignment with product or research objectives. Systems Integration & Deployment: Build scalable inference pipelines that support high-volume, low-latency LLM serving. Implement infrastructure optimizations including quantization, caching, sharding, and model distillation. Integrate models into applications, APIs, or microservices and collaborate with ML Ops to ensure robust deployment. Research & Cross-Functional Collaboration: Lead experimentation on new model architectures, prompting strategies, retrieval-augmented generation (RAG), and hybrid search pipelines. Work closely with product managers, data engineers, ML ops, and research teams to convert experimental insights into production features. Document findings, communicate results, and contribute to technical roadmaps. Requirement Skills & Qualifications: Bachelor's degree in Computer Science, Machine Learning, Engineering, or related field. Minimum of 6 years of experience in machine learning engineering, deep learning, or related fields. Proven hands-on experience training, fine-tuning, and deploying LLMs (e.g., GPT-style, LLaMA-based, or transformer architectures). Strong proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and distributed training systems. Experience building scalable ML pipelines and working with modern inference stacks (e.g., Triton, Ray Serve, Hugging Face, ONNX Runtime). Strong understanding of GPU acceleration, optimization, and cloud-native deployment workflows. Excellent communication skills with the ability to work autonomously in a fast-moving environment. Preferred Skills & Qualifications: Experience with RAG systems, vector databases, and search frameworks (e.g., FAISS, Milvus, Pinecone). Familiarity with model evaluation for alignment, safety, hallucination reduction, and adversarial testing. Prior experience in a research-oriented or applied AI lab environment. Master's degree or Ph.D. in a relevant technical field.

W2 Contract-to-Hire Salary Range: $156,000 - $176,800 per year The MDM Engineer III is responsible for the development, integration, and implementation of configuration processes, procedures, and solutions within the Master Data Management (MDM) platform. The candidate will develop solutions on the MDM platform, participate in system/design/code reviews, address configuration and administration issues, as well as directly influence the direction of the Product domain on the MDM platform. The candidate will also collaborate with other technology partners to design and build quality, highly scalable solutions/applications, as well as interact with business teams as part of Agile development. Duties and Responsibilities: Design, develop, and test incoming and outgoing data feeds, data modeling, governance, and system administration as it pertains to MDM. Responsible for providing technical consulting to management, business analysts, and technical associates, while working with the integration, architecture, and business teams to deliver MDM solutions. Deliver high-quality solutions independently, while working collaboratively to share knowledge and ideas, and adapt quickly to the needs of the business. Partner with Data Governance & Operations teams to deliver based on program/project needs. Drive the architecture, design, and delivery of the end-state MDM solution in a hands-on manner, including modeling the MDM domains. Establish monitoring and reporting capabilities for the MDM platform. Engage with all levels across IT to deliver an Enterprise MDM Program solution (Product), including cross-functional coordination. Help lead master data integration activities, which include, but are not limited to, data cleansing, data creation, data conversion, issue resolution, and data validation. Identify, manage, and communicate issues, risks, and dependencies to project management. Configuration of the MDM solution in a hands-on manner (Web UI, business rules, and workflow changes) Provide support for the Master Data Management (MDM) platform, including technical architecture, inbound/outbound data integration (ETL, maintenance/tuning of match rules and exceptions, data model changes, executing and monitoring incremental updates, and working with infrastructure and DBA teams to maintain multiple environments). Contribute to the design of logical and physical Data modeling to support the Enterprise Master Data Management system. Establish & refine monitoring and reporting capabilities for the new MDM platform. Provide level 3 support for the MDM platform as needed. Manage Code configuration and code release management in Non-production environments. Exceptional verbal communication and technical writing skills Requirements and Qualifications: 8+ years of experience with Master Data Management solutions 5 - 8 years of experience working within the entire Software Development Lifecycle, including requirements gathering, design, implementation, integration testing, deployment, and post-production support 5 - 8+ years of experience in system design, implementation, and Level 3 support activities Strong understanding of Master Data Management concepts, including Object Oriented Design, Programming, and Data Modeling Strong experience in development configuration of Workflow, Web UI, and Business Rules Action components of MDM (STIBO STEP solution preferred) Strong experience in identifying performance bottlenecks, providing a solution, and implementing functional performance recommendations Experience in implementing deployment automation to support the data model / web-ui / JavaScript binds / configurations and product information between environments. Experience in developing enterprise applications using Java, J2EE, JavaScript, HTML, CSS, Spring Framework Working experience with at least one major MDM platform such as Oracle, Informatica, or Stibo (preferred) Working experience in data profiling, data quality designing, and configuring MDM UI, workflows, and rules for business processes, preferably in a retail domain Experience working in an Agile Environment Experience working in an infrastructure environment (ability to assist in logins, restarting servers, etc.) Experience working in Oracle as the main database or Linux operating systems Experience with data modeling and data migration Experience with security best practices of web applications to address vulnerabilities Experience with application integration and middleware Strong communication skills are required, with the ability to give and receive information, explain complex information in simple terms, and maintain a strong customer service approach to all users. Knowledge of/prior DBA experience with SQL Server and/or Oracle is a plus. Minimum knowledge/experience in UNIX Ability to work independently, creatively problem solve complex technical problems, and can provide guidance and training to others Ability to provide accurate estimates of timeframes necessary to complete potential projects and develop project implementation plans Bachelor's Degree in Computer Science or related experience Desired Skills and Experience Master Data Management (MDM), STIBO STEP, Oracle MDM, Informatica MDM, Java, J2EE, JavaScript, HTML, CSS, Spring Framework, Data Modeling, ETL, Data Integration, Data Migration, Data Profiling, Data Quality, Data Governance, Workflow Configuration, Web UI Development, Business Rules Configuration, System Design, Software Development Lifecycle (SDLC), Agile Development, SQL, Oracle Database, SQL Server, Linux, UNIX, Performance Tuning, Match Rules Configuration, Data Cleansing, Data Validation, API Integration, Middleware, Application Security, Requirements Gathering, Technical Architecture, Level 3 Support, Code Configuration Management, Release Management, Object Oriented Design, Data Conversion, Infrastructure Management, Technical Consulting, Cross-functional Collaboration, Issue Resolution, Risk Management, Technical Documentation Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate. Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at *************************

A fast‑growing market data start‑up is seeking their first Cloud Engineer to build and scale the backbone of their cloud infrastructure. This is a unique opportunity to shape the future of the platform from the ground up, working closely with engineering and product teams to deliver high‑performance, reliable systems for real‑time market data. What You'll Do: Lead the design, development, and deployment of cloud platforms on AWS Own the full life cycle of cloud engineering: architecture, implementation, monitoring, optimization, and scaling Establish best practices for cloud security, automation, and cost management Build tooling and frameworks to support data capture, processing, and distribution pipelines Collaborate with developers to integrate cloud infrastructure with applications and analytics systems Serve as the subject matter expert (SME) for all cloud engineering initiatives Document processes and mentor future hires as the team grows What You'll need: Deep expertise in AWS services (EC2, EKS, S3, IAM, etc.) and cloud architecture Proven experience in end‑to‑end development of cloud platforms Strong programming skills, ideally in Python, with ability to contribute to application code as well as infrastructure tooling Familiarity with containerization and orchestration (Docker, Kubernetes) Experience with infrastructure‑as‑code tools (Terraform, CDK) and CI/CD pipelines Solid understanding of monitoring, logging, and alerting systems Strong problem‑solving skills and ability to thrive in a start‑up environment where you'll wear multiple hats Why Join Us Be the foundational cloud hire with ownership over critical infrastructure decisions Work on cutting‑edge market data systems where performance and reliability are paramount Collaborate with a small, global, agile team with direct impact on product and client success This is a hybrid role based in Oakland, CA requiring 3 days a week onsite.

Please read in full: As a founding engineer, you'll work across our entire stack to build and scale our contextual advertising network for AI tools. You'll have significant influence over technical direction and full autonomy. Our immediate priority is backend engineering, but full-stack experience is a strong bonus. Compensation and what we offer: Salary Range: $150,000 - $300,000 USD, depending on experience and scope of contribution Equity: Ranging from $100,000 - $300,000 USD based on experience and contribution Location: Onsite at our spacious office in San Francisco, California. Company Background Gravity is an advertising network for AI chat Enables advertisers to embed ads in relevant conversations Ads write themselves using AI Launched 3 months ago 16M users on installed platforms $500M/year advertiser spend waiting to onboard Delivered impressions scaling 10x MoM as we connect supply with demand Responsibilities As a founding engineer, you'll be working on: Building and scaling core infrastructure Solving novel technical and product challenges with high ambiguity Driving technical direction with high ownership and autonomy What We're Looking For Solving problems with the end user in mind Full-stack development experience Strong problem-solving ability in ambiguous technical/product areas Experience building and scaling distributed systems Practical experience with LLMs and AI infrastructure Proven track record of ownership and autonomous execution Strong communication skills Why Join Us Solve cutting-edge advertising challenges with AI Shape the future of generative advertising Operate in a flat hierarchy with high ownership and autonomy Competitive compensation and equity Be part of a small, talented, fast-moving founding team in San Francisco Interview Process Initial screening with CEO 45-minute technical interview Onsite interview with CEO (video call for non-SF applicants) Please email your application to ******************** with the subject line Joining Gravity - [Your Name] Include: Your resume A short introduction about yourself Any relevant links, such as GitHub, portfolio, or past projects that show your work

UMATR are supporting an early-stage AI startup on a mission to help growing organisations stay aligned and efficient as they scale. Our product acts as an intelligent teammate that understands a company's context, goals, and culture - giving teams unprecedented visibility into what's happening across the business. They're backed by top-tier global investors and experienced operators from some of the world's leading tech companies. This is a ground-floor opportunity to build foundational systems that will power the next generation of AI-native enterprise software. What You'll Do Build and ship high-quality frontend features using React, Next.js, and TypeScript Translate designs into polished, responsive, production-ready UI Partner closely with our designer to iterate rapidly on new UX and UI concepts Take end-to-end ownership of projects in a fast-moving, early-stage environment Collaborate with founders and cross-functional teams to shape product and technical direction (Bonus) Work across the stack when needed, supporting backend teams and integrations What We're Looking For 3+ years of strong frontend engineering experience with React and TypeScript Solid understanding of modern frontend architectures, state management, and performance optimisation Ability to learn quickly, work independently, and move with urgency Experience shipping production systems with high-quality engineering standards Bonus: experience in a fullstack environment or working closely with backend engineers Bias toward ownership, rapid execution, and craftsmanship Ideal Background Experience building and scaling products at fast-moving startups (preferred), or at high-bar tech companies Comfortable with early-stage ambiguity and excited by zero-to-one challenges Strong product intuition and attention to detail A builder mentality - hands-on, resourceful, and motivated to create something enduring

You will work across machine learning, data engineering, and software development to build scalable, production-ready AI systems. Design, develop, and implement machine learning and AI models for various business needs. Build and maintain data pipelines and training workflows. Evaluate model performance and run experiments to improve accuracy, efficiency, and reliability. Deploy models into production using MLOps best practices (CI/CD, model versioning, monitoring). Collaborate with data scientists, software engineers, and product teams to deliver AI-driven features. Strong experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Proficiency in Python and experience building production-grade ML code. Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes). Knowledge of data engineering practices, including data pipelines and ETL.

Strativ are assembling the Founding Engineering team for a new AI startup tackling a $100bn+ per year inefficiency in the physical world. Fresh off an 8× oversubscribed Seed round - with investors including Palantir and OpenAI - the company is building advanced agentic AI to transform how $2T of industrial goods move through the global supply chain. This is not another incremental SaaS tool. You'll build AI systems and deploy agents that directly influence how Fortune 100 enterprises run their worldwide operations. You'll be working alongside a world-class early team of ex-Quants, Oxford/Waterloo grads, and engineers from elite tech firms like X. The company has multiple early products already in motion, extremely strong inbound customer demand, and a long-term vision on the scale of Palantir's early mission. If you want to work relentlessly, solve real-world problems with massive economic impact, and help build a generational AI company from day zero; this is that moment. Key skills/experience required; 3+ years' experience in Software Engineering Hands-on experience building with LLMs (OpenAI, Anthropic, HuggingFace, Azure, etc.). Strong understanding of agent frameworks (LangChain, LlamaIndex, Semantic Kernel, AutoGen, or custom-built tools) Understanding of distributed systems, microservices, and event-driven architectures MS / BS in CS or similar Please apply ASAP for more info.

Mobile Engineer (React Native + iOS/Android) We're looking for Mobile Engineers to join a growing team. You'll play a key role in technical decision-making and execution, and you'll see firsthand the impact our work has in the healthcare space. You'll build and support features primarily in React Native, with some native development for both iOS (Swift) and Android (Kotlin). You'll also have opportunities to contribute improvements to open-source libraries. What You'll Do Design, build, and support easy-to-use mobile applications to help scale the business Make and implement technology decisions that support business needs without compromising security, privacy, or quality Enhance existing systems to add functionality and improve performance, stability, quality, and security Advocate for high standards, make quality-of-life improvements to the codebase, and help limit technical debt Build strong user empathy and maintain a user-centric mindset Communicate effectively within cross-functional product teams (e.g., design, product, machine learning, infrastructure) Mentor and learn from other engineers Tech Stack React Native iOS Native (Swift) Android Native (Kotlin)

Type: Contract We are hiring a Moveworks Developer/Engineer for one of our premier consulting clients. This role focuses on building and optimizing AI-powered conversational agents that automate employee support across IT, HR, and business functions. Responsibilities • Design, develop, and enhance AI-driven bots using the Moveworks platform • Configure intents, entities, and NLU models for high accuracy • Build conversational flows to automate IT/HR/Finance use cases • Integrate Moveworks with platforms like ServiceNow, Workday, SAP, and Jira • Develop backend services using Python or Node.js • Monitor bot performance and implement continuous improvements • Collaborate with IT and business stakeholders on requirements • Troubleshoot bot logic, integrations, and platform issues Qualifications • 1-3+ years of hands-on experience with Moveworks • Strong expertise in NLP/NLU configuration • Programming experience (Python/Node.js/TypeScript) • REST API development & integration experience • Exposure to ServiceNow, Workday, Jira, or SAP • Familiarity with SQL/NoSQL databases • Strong problem-solving and communication skills • Experience in Agile/Scrum environments

Previous Pharmaceutical/Biotech experience is mandatory for this role. MMR Consulting is an engineering and consulting firm specializing in the pharmaceutical and biotechnology industries. Its services include Engineering, Project Management, and other Consulting services. MMR Consulting has offices in Canada, USA, and Australia. This is an outstanding opportunity to join our growing team, where the successful candidate will work with a group of engineers and specialists involved in project management, commissioning and qualification, of equipment, systems and facilities. The work will require working out of the client's facilities in Vacaville, California. This role is for Bioprocess C&Q Engineer role to work on the commissioning, qualification, startup of upstream and downstream bioprocess systems/equipment in the biopharmaceutical industry, as well as process equipment in pharma/biotech industries. Responsibilities Provide technical guidance into the commissioning, qualification and start-up of various equipment and facilities used in life science manufacturing, such as bioreactors, tanks, CIP, Buffers, Media, Chrom, TFF, washers & autoclaves, etc. Lead the development of key qualification deliverables during the project lifecycle to ensure project is well defined, and the action plan to test the system is applicable and relevant. Lead qualification processes throughout the project lifecycle such as VPP, Risk Assessments, RTM, DQ, FAT, SAT, IQ, OQ and PQ as appropriate to ensure timely completion and to ensure all quality and engineering specifications are met. Prepare protocols, execute protocols, summarize data, resolve deviations, prepare final reports. Experience with C&Q of process equipment, utilities, facilities is an asset. Thermal Validation experience is an asset. Coordinate meetings with cross-functional departments, to drive project progress, facilitate decisions, provide updates. Engage other departments, as required, for design reviews and decisions. Travel may be occasionally required for meetings with clients, equipment fabrication vendors or Factory Acceptance Testing (FATs). Work may require occasional support over shutdowns or extended hours, specifically during installation and commissioning / validation phases. Client-management (maintain key Client relationships in support of business development and pursuit of new work), project scheduling/budgeting, coordination of client and MMR resources for effective project delivery, supporting business development (providing technical support to the sales as required for proposals/opportunities), presenting at industry conferences/publishing papers etc. Visit construction and installation sites following all site safety requirements. Other duties as assigned by client, and/or MMR, based on workload and project requirements. Qualifications 3-6+ years for years of experience in commissioning, qualification or validation of various systems within the pharmaceutical/biotech industry. Engineering or Science degree, preferably in Mechanical, Electrical, Chemical, Biochemical, Electromechanical or a related discipline. Excellent written and spoken English is required including the preparation of technical documents in English Knowledge of requirements for a cGMP operations, including SOPs, Change Controls, Validation. Experience with developing and executing validation projects. Risk-Based Commissioning & Qualification approaches, such as ASTM E-2500 or ISPE ICQ, is considered an asset, but not required. Experience with commissioning and qualification of biotech process equipment (upstream or downstream or both), such as some, but not all, of the following: fermentation, bioreactors, downstream purification processes (chromatography, TFF, UF) is required Experience with commissioning & qualification of process control systems (i.e. PCS, SCADA, Historians) and building automation systems (i.e. Siemens Insight / Desigo, JCI Metasys) are considered an asset. Experience with Qualification or Validation of clean utilities, ISO clean rooms, and Thermal Validation is considered an asset. Experience with preparation and execution of URS's, DQ's, RTMs, Risk Assessments, CPPs, VPPs, FATs, SATs, IOQs, NCRs, Final Reports. Ability to lift 50 lbs. Ability to handle multiple projects and work in a fast-paced environment. Strong multi-tasking skills Salary range: 80,000$ -120,000$ based on experience. Equal Employment Opportunity and Reasonable Accommodations MMR Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our hiring decisions are based on merit, qualifications, and business needs. We are committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please let us know the nature of your request.

Title- AI/ML ( Platform Engineering) Duration- 12+ months, contract to hire Top Skills- AI/Ml, cloud, Kubernates We are seeking a talented AI/ML Platform Engineer with a strong emphasis on Cloud to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining AI/ML infrastructure and solutions that leverage the full power of cloud. Your expertise will be crucial in enabling our data scientists and machine-learning engineers to develop, deploy, and scale AI models efficiently and effectively. Key Responsibilities: Build robust AI/ML platforms on cloud, ensuring scalability, reliability, and performance. Develop automated workflows and pipelines for model training, validation, deployment, and monitoring. Work closely with data scientists, ML engineers, and other stakeholders to understand their needs and provide optimal solutions. Continuously optimize the AI/ML infrastructure for cost, performance, and security. Implement monitoring solutions to ensure the health and performance of AI/ML systems, and troubleshoot any issues that arise. Maintain comprehensive documentation of the architecture, workflows, and best practices. Preferred Qualifications: Proven experience as an AI/ML engineer with a focus on platform engineering and Azure Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Experience in Terraform and Helm will be an advantage. Strong understanding of LLMs and proven experience building platforms and applications that leverage them. Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). Strong understanding of data storage, processing, and ETL workflows. Knowledge in chunking strategies for vector database Knowledge on classification & Embedding models. Familiarity with Agile methodologies and project management tools. EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

80Twenty is a boutique marketing recruitment agency that connects high-growth companies with exceptional candidates. Want to build technology that truly moves the needle in healthcare? Join a fast-scaling, profitable healthcare services company - independently grown and not VC-backed - on a mission to make healthcare simpler, smarter, and more human! Our client is a healthcare tech and services company based in San Francisco, combining clinical expertise, operational excellence, and modern engineering to reshape how people experience care. From personalized medication management and transparent pharmacy pricing to community-based chronic care support, we're building a system that empowers both patients and providers. This is a fully onsite role based in San Francisco, CA. Candidates must be located within 30 miles of San Francisco. The standard schedule is Monday-Friday, 9am-7pm and may vary depending on business needs and role responsibilities. In this role, you will: Design, build, and scale backend services that power pharmacy, telehealth, and patient-facing workflows. Collaborate cross-functionally with product, operations, and pharmacy teams to deliver seamless integrations and reliable systems. Lead architectural design discussions and set long-term technical direction for the backend stack. Implement best practices for system reliability, observability, security, and scalability. Drive operational excellence through CI/CD pipelines, cloud infrastructure (AWS), and container orchestration (Kubernetes). Mentor fellow engineers and help shape our backend engineering culture. Optimize system performance and streamline complex data flows across distributed services. Influence and define standards for how we build, test, and deploy software across the company. Who You Are 7+ years of backend engineering experience, ideally in fast-moving production environments. Strong experience with Node.js (TypeScript / JavaScript) and modern backend frameworks. Deep familiarity with AWS, Kubernetes, CI/CD, and distributed system design. Adept at owning code from design through deployment - you care about maintainability, reliability, and long-term scalability. Excellent communicator who enjoys collaborating across disciplines. Motivated by solving complex real-world problems in healthcare and improving patient outcomes. Bonus points for experience in healthcare, pharmacy systems, inventory/fulfillment flows, or regulated environments. Why This Role Stands Out You'll own high-impact systems that directly affect patient and provider experiences. You'll shape backend architecture and engineering best practices in a growing company. You'll join a profitable, non-VC-backed organization focused on long-term sustainability. You'll work in-person with an ambitious, mission-driven team in downtown San Francisco. Competitive compensation, equity opportunities, and strong benefits designed to help you thrive. This is a great opportunity to be a key member of the engineering team, taking technical ownership of our pharmacy platform's core backend systems. Your work will directly power real-time healthcare operations and improve access to care. If you're excited to apply your engineering expertise to meaningful healthcare infrastructure - and want to join a company that values autonomy, sustainability, and impact - we want to hear from you! Base salary: $250k-300k DOE + generous equity and benefits

We are actively searching for a Data Infrastructure Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 5+ years experience designing building distributed database systems Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Job Title: LLM Engineer (Contract) Company: Big Four Client Work Authorization: U.S. Citizen or Green Card Holder Pay Rate: Up to $90 per hour (W2), depending on experience Duration: 1 Month (with possible extension) Overview: We are seeking a highly experienced LLM Engineer Contractor to support short-term, high-impact work focused on building, optimizing, and deploying large language models at one of our Big Four clients. The ideal candidate has deep technical expertise across modern LLM architectures, inference systems, and applied machine-learning workflows. This role is fast-paced and hands-on, requiring strong research skills, engineering excellence, and the ability to collaborate across product, data, and ML operations teams. The contractor will contribute directly to model development, performance optimization, and the deployment of LLM-backed features into production environments. Key Responsibilities: Model Development & Optimization: Design, train, fine-tune, and evaluate LLMs for performance, efficiency, safety, and reliability. Optimize models through techniques such as transfer learning, RLHF, low-rank adaptation (LoRA), quantization-aware training, and distillation. Conduct rigorous benchmarking and ensure alignment with product or research objectives. Systems Integration & Deployment: Build scalable inference pipelines that support high-volume, low-latency LLM serving. Implement infrastructure optimizations including quantization, caching, sharding, and model distillation. Integrate models into applications, APIs, or microservices and collaborate with ML Ops to ensure robust deployment. Research & Cross-Functional Collaboration: Lead experimentation on new model architectures, prompting strategies, retrieval-augmented generation (RAG), and hybrid search pipelines. Work closely with product managers, data engineers, ML ops, and research teams to convert experimental insights into production features. Document findings, communicate results, and contribute to technical roadmaps. Requirement Skills & Qualifications: Bachelor's degree in Computer Science, Machine Learning, Engineering, or related field. Minimum of 6 years of experience in machine learning engineering, deep learning, or related fields. Proven hands-on experience training, fine-tuning, and deploying LLMs (e.g., GPT-style, LLaMA-based, or transformer architectures). Strong proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and distributed training systems. Experience building scalable ML pipelines and working with modern inference stacks (e.g., Triton, Ray Serve, Hugging Face, ONNX Runtime). Strong understanding of GPU acceleration, optimization, and cloud-native deployment workflows. Excellent communication skills with the ability to work autonomously in a fast-moving environment. Preferred Skills & Qualifications: Experience with RAG systems, vector databases, and search frameworks (e.g., FAISS, Milvus, Pinecone). Familiarity with model evaluation for alignment, safety, hallucination reduction, and adversarial testing. Prior experience in a research-oriented or applied AI lab environment. Master's degree or Ph.D. in a relevant technical field.

Type: Contract We are hiring a Moveworks Developer/Engineer for one of our premier consulting clients. This role focuses on building and optimizing AI-powered conversational agents that automate employee support across IT, HR, and business functions. Responsibilities • Design, develop, and enhance AI-driven bots using the Moveworks platform • Configure intents, entities, and NLU models for high accuracy • Build conversational flows to automate IT/HR/Finance use cases • Integrate Moveworks with platforms like ServiceNow, Workday, SAP, and Jira • Develop backend services using Python or Node.js • Monitor bot performance and implement continuous improvements • Collaborate with IT and business stakeholders on requirements • Troubleshoot bot logic, integrations, and platform issues Qualifications • 1-3+ years of hands-on experience with Moveworks • Strong expertise in NLP/NLU configuration • Programming experience (Python/Node.js/TypeScript) • REST API development & integration experience • Exposure to ServiceNow, Workday, Jira, or SAP • Familiarity with SQL/NoSQL databases • Strong problem-solving and communication skills • Experience in Agile/Scrum environments

Mobile Engineer (React Native + iOS/Android) We're looking for Mobile Engineers to join a growing team. You'll play a key role in technical decision-making and execution, and you'll see firsthand the impact our work has in the healthcare space. You'll build and support features primarily in React Native, with some native development for both iOS (Swift) and Android (Kotlin). You'll also have opportunities to contribute improvements to open-source libraries. What You'll Do Design, build, and support easy-to-use mobile applications to help scale the business Make and implement technology decisions that support business needs without compromising security, privacy, or quality Enhance existing systems to add functionality and improve performance, stability, quality, and security Advocate for high standards, make quality-of-life improvements to the codebase, and help limit technical debt Build strong user empathy and maintain a user-centric mindset Communicate effectively within cross-functional product teams (e.g., design, product, machine learning, infrastructure) Mentor and learn from other engineers Tech Stack React Native iOS Native (Swift) Android Native (Kotlin)