Software engineering internship jobs in Tracy, CA

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

The Role Our client is seeking a Staff Software Engineer to join a small, senior team as a highly skilled individual contributor. In this hybrid role, you'll work across the stack to build new user-facing features and develop integrations with CAD and third-party applications. You'll partner closely with product managers, AI researchers, and other engineers to turn new ideas into production-ready systems at scale. What You'll Do Design and build scalable, reliable full-stack systems using React, Node.js, and Python. Deploy an ML model to production: you've done it before, and you'll do it again: build robust products that users love. Collaborate closely with ML and data teams to integrate models and pipelines into real-world products. Architect backend systems around AWS services, databases, and modern data infrastructure. Own performance and scale: build APIs, indexes, and search systems that make high-dimensional data feel instant. Contribute to product direction: work with design, AI, and leadership to turn technical capabilities into delightful user experiences. (Optional but exciting): advance 3D visualization, geometry, or rendering engines that make engineering feel magical. What We're Looking For You're a strong generalist who can build, ship, and scale complex full-stack systems. You're fluent in React, Node.js, and Python, and comfortable designing APIs, services, and data flows end-to-end. You've shipped large production systems, ideally ones that touch ML, data, or search. You have experience with AWS databases, and you enjoy thinking about indexing, search, and vector data systems. You're pragmatic, product-minded, and enjoy owning features from concept to deployment. You collaborate naturally with AI, design, and data teams, and love turning complexity into clarity. Bonus points if: You've worked with large-scale data processing pipelines. You have an interest in math, geometry, topology, rendering, or computational geometry. You've built software in 3D printing, CAD, or computer graphics domains. This is a rare opportunity to create the interfaces, infrastructure, and experiences that bring a new kind of intelligence to the physical world, and help define how AI becomes a tool for the imagination. You love building systems that are elegant, fast, and deeply technical, and want to see them shape the real world. Let's build the tools the future will be made in. Compensation The base salary range for this role is $175,000 - $240,000, plus equity. Flexible PTO and competitive compensation. Final offers will be based on experience, interview performance, and alignment with role requirements.

Edward Mann are hiring for an excellent Technology Start-up based in San Francisco. About the Role We are seeking a Head of Computer Use / Senior AI Engineer (hands on role). Driving the evolution of the next generation of browser agents (testing browser agents). To lead the design, training, and advancement of next-generation AI agent systems. This role involves fine-tuning large language models (LLMs) and developing intelligent agents capable of navigating and interacting with real web environments. It's a high-impact position combining hands-on engineering, experimentation, and strategic input. You'll collaborate closely with technical leadership, contribute directly to product direction, and mentor other engineers in developing advanced agent capabilities. Key Responsibilities Develop, train, and deploy LLM-powered agents that interact with websites through real browser interfaces. Fine-tune foundation models using advanced methods (e.g., LoRA, PEFT, DPO, RLHF) and select the best approach for each use case. Design reinforcement learning systems that improve agent reasoning, adaptability, and task performance. Own the full agent pipeline-from model architecture and policy design to simulation frameworks and testing environments. Rapidly prototype, run experiments, and refine solutions to push the limits of agent performance. Partner with technical leadership to shape product direction and research priorities. Mentor and support other engineers, helping to grow a strong, mission-driven technical team. Build and coordinate multi-agent workflows with structured roles, memory systems, and effective trajectories. What You'll Bring Strong background in machine learning with a PhD or equivalent industry experience in AI/ML/Computer Science. Hands-on experience fine-tuning LLMs. Deep applied knowledge of reinforcement learning techniques. Experience building agents for real-world applications (bonus: browser-based or robotics experience). Strong coding and experimentation skills, with a preference for practical problem-solving over theory alone. A sense of ownership and drive to build impactful systems beyond titles or hierarchy. Experience mentoring, managing, or growing technical teams. Preferred Qualifications Record of impactful research publications or open-source contributions. Experience in high-growth, fast-paced start-up environments.

Crossing Hurdles is a global recruitment firm partnering with, a fast-growing Clinical Data Intelligence platform built on 12+ years of advanced research in Machine Reading and Knowledge Graph technology. It automates the low-level cognitive workflows that slow down clinicians, researchers, data abstractors, and care teams - helping healthcare systems operate faster, more accurately, and more efficiently. Role: Senior Data/AI/ML Software Engineer Location: Remote US Compensation: $150K-$300K (level & location based) + 0.1%-0.5% equity YOE: 7+ years in AI/ML or full-stack SWE Visa: H1B transfers + possible new H1B sponsorship Type: Full-time Why you should consider this Build the intelligence layer behind a platform transforming clinical workflows at scale. Work with cutting-edge NLP, Machine Reading, and Knowledge Graph technologies. High-ownership role in a small, senior, research-driven engineering team (20 people). Join a company backed by $15M+ funding, growing rapidly in the healthcare AI space. Direct real-world impact: your work will be used daily by clinicians and care teams. Remote-first, high-autonomy culture with strong technical leadership. About the role Build and enhance clinical information extractors, summarizers, and automation systems. Scrape, process, transform, query, and analyze structured/unstructured clinical data. Evaluate system performance and refine the clinical knowledge graph. Develop secure, compliant code aligned with HIPAA & SOC 2. Contribute to core data/AI/ML pipelines and infrastructure. Participate in an on-call rotation to ensure system uptime. Requirements / Who is the ideal fit 7+ years of experience in AI/ML engineering or full-stack SWE. Deep hands-on experience with NLP/LLMs, data-intensive systems, and ML pipelines. Strong expertise in Python, SQL, PyTorch, GCP, FastAPI, Django, BigQuery, dbt, Pandas. Experience working with large, messy, clinical/healthcare datasets (nice-to-have). Familiarity with secure coding, privacy, and compliance standards. Must be able to work Pacific Time core hours; US-based only .

A top AI Native Command Center startup is looking for a lead software developer to join their growing technology team. It centralizes internal and external data for companies and matches it with external insights to help companies make better decisions and predict the future. With early traction in sports and entertainment and working with some of the biggest names like the PGA, Warriors and others and a fresh venture round, they are scaling quickly. As Engineering Lead at Cred, you'll shape how we build. You'll manage and mentor a growing team, drive best practices across delivery and QA, and help us scale our infrastructure, pipelines, and platform with AI and automation at the core. Key Responsibilities: Lead and scale the engineering function with a strong delivery mindset - shipping high-quality features weekly Own and evolve internal processes around CI/CD, QA automation, observability, and DevOps Design and build internal tools to automate development, QA, and data workflows, powered by AI What We're Looking For Must-Haves: 6-10+ years of hands-on engineering experience, with at least 2+ years in engineering leadership roles Proven ability to lead agile/scrum teams, set goals, track velocity, and manage delivery in sprint cycles Strong background in DevOps and QA best practices - CI/CD pipelines, automated testing, infrastructure as code Experience building and scaling data-rich products - including APIs, integrations, scraping tools, or cloud platforms AI-native mindset - you actively look for ways to integrate LLMs and automation into engineering processes

Job Title: Staff Software Engineer Job Type: Perm Salary: Very Competitive based on exp. The Company: Series C AI technology company building backend systems that enable clinical and operational tools used by healthcare organizations. The team combines engineering and research expertise to build safe, reliable AI services for use in regulated data environments. The company is focused on practical, production-grade systems rather than research prototypes. Role and Responsibilities: Design and build scalable backend infrastructure to support AI applications used in healthcare environments. Collaborate with ML engineers and scientists to develop high-throughput data pipelines and microservices. Develop APIs and distributed systems that enable secure data retrieval, processing, and model integration. Ensure patient data protection through strong privacy and security measures across systems. Monitor, optimize, and maintain backend performance to meet enterprise reliability standards. Partner with product managers and healthcare teams to translate clinical needs into technical solutions. Mentor junior engineers, fostering technical growth and best practices within the engineering team. Job Requirements: Must Have: 7+ years of experience in backend engineering (Python, Go, or Java). Proven experience building distributed systems (databases, pub/sub, Kafka, Redis). Expertise in cloud platforms (GCP or Azure preferred; AWS acceptable). Proficiency with Docker, Kubernetes, CI/CD, and cloud networking. Strong understanding of SaaS architecture, data modeling, and security/privacy frameworks. Excellent communication and collaboration skills. Ability to work LATAM-based hours aligned with PST. Nice to Have: Familiarity with LLM frameworks (e.g., LangChain) or vector databases for AI/ML workloads. Experience in healthcare or regulated environments (HIPAA familiarity is a plus). Interest in mentorship and architectural decision-making at scale. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify's mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here

Compensation: Up to $135K base salary My client is a Series C renewable-energy automation unicorn, founded in 2019 and backed by more than $200M in funding. They are building intelligent systems that transform how large-scale renewable energy projects are designed and delivered. They're hiring a Software Engineer - Intelligent Systems to develop AI-powered tools using Azure OpenAI, AWS Bedrock, and AgentCore to automate complex engineering workflows. This role is ideal for a recent M.S. or Ph.D. graduate passionate about AI, automation, and multi-cloud technologies. What You'll Do Build AI-driven automation workflows and reasoning chains Develop LLM-based agents with Azure OpenAI and AWS Bedrock Work on retrieval systems and Document AI integrations Deploy and optimize agents across Azure, AWS, edge, and on-prem environments Translate engineering workflows into intelligent systems Test, validate, and document system behavior What We're Looking For Bachelor's or Master's in CS, AI, Computational Linguistics, or related field (M.S./Ph.D. preferred) Experience with AI/ML, NLP, or intelligent systems Strong Python programming skills Familiarity with frameworks like LangChain or LangGraph Exposure to Azure OpenAI, AWS Bedrock, and AgentCore Understanding of REST APIs, asynchronous programming, and data integration

Founding Engineer On-Site San Francisco, CA $170,000 - $200,000 About: We are seeking versatile Sr Software Engineers who specialize across disciplines - Machine Learning, Data Engineering, and Full-Stack Development. The ideal candidate is willing to get their hands dirty, push boundries, and driven by a need to succeed. You will be ready to work diligently and build rapidly to win the market. You should be prepared to challenge existing concepts and develop alternative solutions. Job Summary: You'll operate at the cutting edge of LLMs, computer vision, and data engineering to automate compliance in precision-focused industries. You'll also collaborat with major global industrial partners. Your work will help build a product that leading organizations will depend on to prevent accidents, protect lives, and transform the way they run their operations. Who You Are: Able to make decisions quickly. Proactive. Comfortable with TypeScript, Python, Docker, LLMs, YOLO, Tesseract, PostgreSQL, AWS, and React Native. Have a history of building products that have been used. Thrive under pressure and within an unstructured environment. What You'll Do: Speak with users and gather their needs, experiences, and problems. Architect systems that will be used daily by others at billion-dollar companies. Build agent-swarm data pipelines that will autonomously audit. Maintain and scale infrastructure. Produce quickly without the fear of perfection. Work directly with the founding team and customers.

Virtual Hardware Modeling: The compute performance and power efficiency requirements of custom AR/VR devices require custom silicon. Our client team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. We are seeking a modeling Engineer to develop high-level models of complex SoC hardware. This combines models of custom hardware accelerators for vision, 2D and 3D graphics, machine learning and more, within a multi-core, multi-level memory hierarchy SoC architecture, and serve as the primary simulation vehicle for system software and firmware. The ideal candidate will be proficient in hardware simulation using C++, and understand the firmware development processes. Responsibilities Design and develop SystemC TLM models to accurately represent the SoC architecture integrating emulated processors, DSPs, Network-on-Chip, DMA and memory controllers, etc… Integrate first-party and vendor models into the Virtual Platform, develop automated workflows to ensure register-level accuracy and complete connectivity at the SoC level, minimizing manual intervention and enabling continuous integration. Collaborate with silicon architects, digital designers and verification engineers to design and develop high-fidelity, fast C++ models for first-party IP. Coordinate virtual platforms with hardware development programs, validating multiple SoCs and architectural changes with system software and firmware engineering, enabling end-to-end silicon validation test frameworks. Enhance the virtual platforms to enable SoC and system architecture exploration by instrumenting models for power and performance metrics, allowing for data-driven design decisions and trade-off analysis to optimize system performance and power consumption. Minimum qualifications B.S. degree in Computer Science or Electrical Engineering or equivalent experience. 7-10+ years of experience with 5+ years experience in hardware model simulation, virtual platform, performance modeling of complex SoCs or high-fidelity hardware accelerators. High proficiency in modern C++ in the domains of chip-design, electronic design automation or simulation. Experience with the SystemC/TLM library Experience with virtual platform development tools and frameworks, such as Synopsys Virtualizer, Cadence Virtual Platform, Imperas OVP, or ARM Fast Models Familiarity with processor/DSP architectures, such as ARM, RISC-V, and XTensa Familiarity with NoC, MMU, address translations, and cache modeling Familiarity with the standard C++ concurrency support library: threads, atomic operations, memory ordering, etc… Proficiency in Python to automate design flows, creation of collateral data Key Responsibilities: Design and develop SystemC TLM models to accurately represent the SoC architecture integrating emulated processors, DSPs, Network-on-Chip, DMA and memory controllers, etc… Integrate first-party and vendor models into the Virtual Platform, develop automated workflows to ensure register-level accuracy and complete connectivity at the SoC level, minimizing manual intervention and enabling continuous integration. Collaborate with silicon architects, digital designers and verification engineers to design and develop high-fidelity, fast C++ models for first-party IP. What are the Mandatory skills and skill proficiencies required for this position? High proficiency in modern C++ in the domains of chip-design, electronic design automation or simulation. Experience with the SystemC/TLM library Experience with virtual platform development tools and frameworks, such as Synopsys Virtualizer, Cadence Virtual Platform, Imperas OVP, or ARM Fast Models Familiarity with processor/DSP architectures, such as ARM, RISC-V, and XTensa Familiarity with NoC, MMU, address translations, and cache modeling Familiarity with the standard C++ concurrency support library: threads, atomic operations, memory ordering, etc… Proficiency in Python to automate design flows, creation of collateral data Shubham Hayaran Senior Technical Recruiter Net2Source Inc.

Introduction: We're working with an early-stage, small team building real production software and looking for a Full-Stack Engineer to join at a point where ownership and impact are real. This is ideal for someone who wants to be close to the product and have a meaningful voice in how things are built. Hybrid in San Francisco or NYC preferred, but remote candidates may be considered based on qualifications. What You'll Do: • Own full-stack features end-to-end, from backend services to user-facing functionality • Build and maintain systems using TypeScript / Node.js, AWS, and Python (preferred) • Collaborate closely with a small, senior engineering team and founders • Help shape technical decisions as the product and team scale • Ship production code that's used by real customers Does this sound like you? • You have full-stack engineering experience and enjoy owning your work • You're comfortable working in TypeScript / Node.js and AWS • You have experience with or interest in Python • You're curious about AI, actively use modern AI tools in your day-to-day coding workflow, or have experience building AI native applications • You enjoy early-stage environments with high ownership and fast feedback loops Can't wait to hear more about this position? Click Apply below and reach out to ******************* and they will be more than happy to share more details. Foundr.xyz is extremely committed to working with equal opportunity employers helping build diverse and inclusive workforce's. We put the people we work with at the heart of everything we do and dedicate all we do to playing a part in developing an industry that represents a variety of backgrounds, perspectives, and skills.

Akkodis is seeking a Senior Frontend Developer for a 6 Months contract in Sunnyvale, CA - Onsite Rate Range: $58.00/HR. - $62.00/HR.; The rate may be negotiable based on experience, education, geographic location, and other factors. Job Summary We are seeking a Senior Frontend Developer with deep expertise in React and JavaScript, and exposure to backend systems, cloud-native infrastructure, and automation tooling. Key Responsibilities Will play a key role in building intuitive, scalable, and high-performance user interfaces while collaborating across disciplines to ensure seamless integration with backend services and infrastructure. Required skills 6 years of JavaScript development experience 6 years of React development experience 5 years of API development experience Familiarity with industry standard GraphQL concepts (Fragments, codegen tooling, Relay Cursor Connection Specification, etc). Preferred skills General knowledge of distributed systems Experience with cloud-native technologies and environments Exposure to Kubernetes Familiarity with Terraform or other infrastructure orchestration tools Experience with Python for scripting or backend support If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at ****************************. Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ****************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance

Hi, Want to Connect regarding a urgent position please review below description and let me know if you are interested. Job Title: Senior Cloud Software Engineer (Threat Prevention & AppID) Duration: 7+ Months Xoriant reasonably expects the pay rate for this position to be within the following range: $50/hr-52/hr. Job Description: Duties: Your Career We're seeking innovators - engineers who seek to design new products, designing state-of-the-art products that do not exist today. These engineers love to code with a drive to build global products and bring new ideas to develop security disciplines to solve real-world problems. We are looking for talent engineers who take ownership of their areas of focus and who are driven to pursue problems at every level. Collaboration is at the heart of our culture and we need engineers who can communicate at a high level and work well with multi-functional teams towards achieving a common goal. Your Impact: Participate in the design and implementation of threat prevention & AppID cloud services for public cloud and private cloud features Participate in all phases of the product development cycle, from definition, design, through implementation and test Provide real-time security services to customers Work with PLM on new feature requirement Work with QA and DevOps on new release deployment Work with support to handle customer issues Work with security researchers and data scientist on a new feature request Additional Information: The Team We are the Threat Prevention & AppID Infrastructure team. Our engineering team is at the core of our products deliver the best of security services on the cloud to prevent cyberattacks. We are constantly innovating challenging the way we, and the industry, think about cybersecurity. Our engineers don't shy away from building products to solve problems no one has pursued before. We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Skills: Qualifications Your Experience: BS/MS in Computer Science or Computer Engineering Solid programming skills in GoLang, Python or Java Solid knowledge and skills on Linux Solid skills with Kubernetes and Docker Rich Google Cloud Platform experience is a plus Solid knowledge of web servers/proxies such as NGINX, envoy 3 years of working experience on data infrastructure platforms Strong micro-service development experience Rich Experience with SQL and No-SQL DB technologies such as MySQL, Redis Hands-on experience with the queuing system such as RabbitMQ, Kafka, experience with Pub/Sub is a plus Solid skills in multi-threads and multi-processes programming and experience in a distributed system are preferred DevOps experience a plus Teamwork, problem-solving and a can-do attitude Education: Bachelor s Degree in Computer Science or related field (or equivalent) Regards, Akangsha Mohite Team Lead W: ************** E: *************************** Xoriant is an equal opportunity employer. No person shall be excluded from consideration for employment because of race, ethnicity, religion, caste, gender, gender identity, sexual orientation, marital status, national origin, age, disability or veteran status.

Staff Software Engineer (IC) - High-Growth AI/FinTech Startup Full-time · Hybrid (San Francisco) $220k-$300k + equity A well-funded, rapidly scaling startup in the AI-driven fintech space is looking for an experienced Staff Engineer to take ownership of reshaping the foundations of their core platform. After two years of fast iteration and customer growth, the product has evolved into a set of independently built services. They now need a senior IC who can bring coherence, scalability, and long-term architectural stability as the engineering team expands. This is a high-impact individual contributor role working directly with the CTO. You'll set technical direction, oversee major system redesigns, and help prepare the platform to support significantly larger usage, customer demands, and a future 20-40+ engineer organisation. What You'll Be Doing Lead architectural transformation Redesign major components into a unified, maintainable, scalable system. Remove legacy code, reduce fragmentation, and introduce sound architectural patterns. Define technical standards and guide the broader engineering team towards consistent, high-quality design. Drive high-leverage engineering work Partner closely with the CTO on long-term technical strategy. Lead development of workflow systems for real-time identity, income, and document verification. Strengthen the infrastructure that powers the company's automated decisioning engine (currently >70% auto-approval/denial rate). Support integrations with internal ML models that perform fraud detection and financial document understanding. Influence and elevate the engineering culture Collaborate with senior and junior engineers across backend, full-stack and infra. Improve developer velocity and support onboarding of larger enterprise customers. Help the company scale from an early-stage engineering organisation to a mature, high-performance team. What They're Looking For 7-8+ years' experience as a strong backend or full-stack IC. Proven ability to re-architect complex systems and scale codebases beyond the “early startup” phase. Experience in a fast-growing startup (Seed → A → B or similar) where the engineering org expanded meaningfully. Depth in modern backend or full-stack development (ideal: TypeScript, React, Node.js, Python). Someone who thrives in ambiguity, makes pragmatic technical decisions, and moves quickly. A high engineering bar and the ability to raise the standards of those around you. Tech Environment Frontend: TypeScript, React Backend: Node.js, Python Data: Postgres, BigQuery, Redis Cloud: GCP Hybrid working model; candidates must be based in or willing to relocate to the San Francisco Bay Area. (Hybrid flexibility available for senior candidates.) Why This Role Is Exciting Join a business with strong revenue, real customers, and top-tier backers. Have ownership of mission-critical architecture, not just feature work. Work alongside a highly capable CTO and shape the company's technical trajectory for years to come. Build systems that support real-world decisions for millions of end-users. Competitive salary, meaningful equity, and the chance to make a long-term technical mark.

The Role Our client is seeking a Staff Software Engineer to join a small, senior team as a highly skilled individual contributor. In this hybrid role, you'll work across the stack to build new user-facing features and develop integrations with CAD and third-party applications. You'll partner closely with product managers, AI researchers, and other engineers to turn new ideas into production-ready systems at scale. What You'll Do Design and build scalable, reliable full-stack systems using React, Node.js, and Python. Deploy an ML model to production: you've done it before, and you'll do it again: build robust products that users love. Collaborate closely with ML and data teams to integrate models and pipelines into real-world products. Architect backend systems around AWS services, databases, and modern data infrastructure. Own performance and scale: build APIs, indexes, and search systems that make high-dimensional data feel instant. Contribute to product direction: work with design, AI, and leadership to turn technical capabilities into delightful user experiences. (Optional but exciting): advance 3D visualization, geometry, or rendering engines that make engineering feel magical. What We're Looking For You're a strong generalist who can build, ship, and scale complex full-stack systems. You're fluent in React, Node.js, and Python, and comfortable designing APIs, services, and data flows end-to-end. You've shipped large production systems, ideally ones that touch ML, data, or search. You have experience with AWS databases, and you enjoy thinking about indexing, search, and vector data systems. You're pragmatic, product-minded, and enjoy owning features from concept to deployment. You collaborate naturally with AI, design, and data teams, and love turning complexity into clarity. Bonus points if: You've worked with large-scale data processing pipelines. You have an interest in math, geometry, topology, rendering, or computational geometry. You've built software in 3D printing, CAD, or computer graphics domains. This is a rare opportunity to create the interfaces, infrastructure, and experiences that bring a new kind of intelligence to the physical world, and help define how AI becomes a tool for the imagination. You love building systems that are elegant, fast, and deeply technical, and want to see them shape the real world. Let's build the tools the future will be made in. Compensation The base salary range for this role is $175,000 - $240,000, plus equity. Flexible PTO and competitive compensation. Final offers will be based on experience, interview performance, and alignment with role requirements.

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

Edward Mann are hiring for an excellent Technology Start-up based in San Francisco. About the Role We are seeking a Head of Computer Use / Senior AI Engineer (hands on role). Driving the evolution of the next generation of browser agents (testing browser agents). To lead the design, training, and advancement of next-generation AI agent systems. This role involves fine-tuning large language models (LLMs) and developing intelligent agents capable of navigating and interacting with real web environments. It's a high-impact position combining hands-on engineering, experimentation, and strategic input. You'll collaborate closely with technical leadership, contribute directly to product direction, and mentor other engineers in developing advanced agent capabilities. Key Responsibilities Develop, train, and deploy LLM-powered agents that interact with websites through real browser interfaces. Fine-tune foundation models using advanced methods (e.g., LoRA, PEFT, DPO, RLHF) and select the best approach for each use case. Design reinforcement learning systems that improve agent reasoning, adaptability, and task performance. Own the full agent pipeline-from model architecture and policy design to simulation frameworks and testing environments. Rapidly prototype, run experiments, and refine solutions to push the limits of agent performance. Partner with technical leadership to shape product direction and research priorities. Mentor and support other engineers, helping to grow a strong, mission-driven technical team. Build and coordinate multi-agent workflows with structured roles, memory systems, and effective trajectories. What You'll Bring Strong background in machine learning with a PhD or equivalent industry experience in AI/ML/Computer Science. Hands-on experience fine-tuning LLMs. Deep applied knowledge of reinforcement learning techniques. Experience building agents for real-world applications (bonus: browser-based or robotics experience). Strong coding and experimentation skills, with a preference for practical problem-solving over theory alone. A sense of ownership and drive to build impactful systems beyond titles or hierarchy. Experience mentoring, managing, or growing technical teams. Preferred Qualifications Record of impactful research publications or open-source contributions. Experience in high-growth, fast-paced start-up environments.

A top AI Native Command Center startup is looking for a lead software developer to join their growing technology team. It centralizes internal and external data for companies and matches it with external insights to help companies make better decisions and predict the future. With early traction in sports and entertainment and working with some of the biggest names like the PGA, Warriors and others and a fresh venture round, they are scaling quickly. As Engineering Lead at Cred, you'll shape how we build. You'll manage and mentor a growing team, drive best practices across delivery and QA, and help us scale our infrastructure, pipelines, and platform with AI and automation at the core. Key Responsibilities: Lead and scale the engineering function with a strong delivery mindset - shipping high-quality features weekly Own and evolve internal processes around CI/CD, QA automation, observability, and DevOps Design and build internal tools to automate development, QA, and data workflows, powered by AI What We're Looking For Must-Haves: 6-10+ years of hands-on engineering experience, with at least 2+ years in engineering leadership roles Proven ability to lead agile/scrum teams, set goals, track velocity, and manage delivery in sprint cycles Strong background in DevOps and QA best practices - CI/CD pipelines, automated testing, infrastructure as code Experience building and scaling data-rich products - including APIs, integrations, scraping tools, or cloud platforms AI-native mindset - you actively look for ways to integrate LLMs and automation into engineering processes

Founding Engineer On-Site San Francisco, CA $170,000 - $200,000 About: We are seeking versatile Sr Software Engineers who specialize across disciplines - Machine Learning, Data Engineering, and Full-Stack Development. The ideal candidate is willing to get their hands dirty, push boundries, and driven by a need to succeed. You will be ready to work diligently and build rapidly to win the market. You should be prepared to challenge existing concepts and develop alternative solutions. Job Summary: You'll operate at the cutting edge of LLMs, computer vision, and data engineering to automate compliance in precision-focused industries. You'll also collaborat with major global industrial partners. Your work will help build a product that leading organizations will depend on to prevent accidents, protect lives, and transform the way they run their operations. Who You Are: Able to make decisions quickly. Proactive. Comfortable with TypeScript, Python, Docker, LLMs, YOLO, Tesseract, PostgreSQL, AWS, and React Native. Have a history of building products that have been used. Thrive under pressure and within an unstructured environment. What You'll Do: Speak with users and gather their needs, experiences, and problems. Architect systems that will be used daily by others at billion-dollar companies. Build agent-swarm data pipelines that will autonomously audit. Maintain and scale infrastructure. Produce quickly without the fear of perfection. Work directly with the founding team and customers.

A top AI Native Command Center startup is looking for a lead software developer to join their growing technology team. It centralizes internal and external data for companies and matches it with external insights to help companies make better decisions and predict the future. With early traction in sports and entertainment and working with some of the biggest names like the PGA, Warriors and others and a fresh venture round, they are scaling quickly. As Engineering Lead at Cred, you'll shape how we build. You'll manage and mentor a growing team, drive best practices across delivery and QA, and help us scale our infrastructure, pipelines, and platform with AI and automation at the core. Key Responsibilities: Lead and scale the engineering function with a strong delivery mindset - shipping high-quality features weekly Own and evolve internal processes around CI/CD, QA automation, observability, and DevOps Design and build internal tools to automate development, QA, and data workflows, powered by AI What We're Looking For Must-Haves: 6-10+ years of hands-on engineering experience, with at least 2+ years in engineering leadership roles Proven ability to lead agile/scrum teams, set goals, track velocity, and manage delivery in sprint cycles Strong background in DevOps and QA best practices - CI/CD pipelines, automated testing, infrastructure as code Experience building and scaling data-rich products - including APIs, integrations, scraping tools, or cloud platforms AI-native mindset - you actively look for ways to integrate LLMs and automation into engineering processes