Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Design, develop, and deploy machine learning and deep learning models; build end-to-end ML pipelines including preprocessing, training, evaluation, and deployment; perform feature engineering on large datasets; deploy and monitor models on cloud platforms; collaborate with cross-functional teams to integrate AI solutions and retrain models as needed.

Design, build, and deploy production-grade Generative AI applications: multi-agent systems, advanced RAG pipelines, LLM integration and swapping, model fine-tuning and quantization, scalable FastAPI backends, containerized deployment, and monitoring/optimization for latency, cost, and reliability.

Design, develop, and maintain backend microservices in Java/Spring Boot; build RESTful APIs; implement Angular front-end; integrate with Kafka and AWS S3; collaborate across the SDLC; troubleshoot and debug full-stack issues. Fraud prevention experience required.

Lead the PIM/MDM product strategy and roadmap to ensure accurate, enriched product data. Establish data governance, integrate PIM/MDM with ERP, e-commerce, CMS and marketplaces, automate onboarding/enrichment workflows, define KPIs, and collaborate with Marketing, Supply Chain, and Engineering to improve data-driven customer experiences.

Design, build, and maintain scalable backend services in Java and Python. Implement RESTful/GraphQL APIs, optimize SQL/NoSQL databases, develop microservices, enforce security (OAuth2/JWT), write unit/integration tests, optimize performance, and collaborate with frontend and DevOps teams in Agile processes.

Lead end-to-end UX design from discovery to delivery. Conduct user research and usability testing, define personas and IA, create wireframes/prototypes/high-fidelity designs, ensure design system consistency, validate with data, and mentor junior designers.

Lead end-to-end delivery of a retail systems modernization MVP focused on customer workflows (Search, Quoting, Inventory, Payment). Manage discovery, scope, API-based integrations, UX alignment, device readiness, stakeholder communication, risk/scope, and rapid pilot rollout readiness.

Design, build, and deploy production-grade generative AI applications: orchestrate multi-agent systems, implement advanced RAG with vector DBs, fine-tune and host LLMs, optimize GenAI workflows, and deliver scalable FastAPI-based backend services with Docker and monitoring.

Full Stack/Frontend Developer building responsive, accessible, high-performance UIs with React or Vue, integrating with Java/Spring Boot backends. Design component-based architectures, manage state, consume REST APIs, write UI tests, use modern frontend tooling and CSS methodologies, work in CI/CD pipelines, and collaborate within Agile teams.

Lead architecture and delivery of scalable, secure Agentic AI platforms. Design multi-agent systems, run technical POCs, implement RAG and evaluation frameworks, optimize performance, define MLOps/CI/CD standards, mentor engineers, and collaborate with product and stakeholders.