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

Lead QA Automation for agentic AI products by designing eval pipelines, golden datasets, and automated tests for tool-use, hallucination detection, latency/token monitoring, and regression across models and prompts. Integrate performance testing into CI/CD and collaborate with AI engineers to convert requirements into measurable automated evaluations.

Define and govern end-to-end enterprise architecture across frontend, backend, integration, and cloud platforms. Establish architectural vision, guardrails, and decision frameworks; drive platform strategy, resilience, scalability, and governance. Collaborate with architects, tech leads, product, security, and operations; mentor technical leaders and guide platform, frontend, backend, and cloud implementations for web, mobile, desktop, and retail environments.

Design, build, and deploy production-grade generative AI systems: multi-agent orchestration, advanced RAG with vector databases, integrate/swap LLMs, fine-tune models, optimize prompts and latency, and containerize services with monitoring and CI/CD.

Design, develop, and maintain scalable Android applications using Kotlin/Java and Jetpack components. Integrate REST APIs, optimize performance and security, participate in architecture and deployment activities, troubleshoot and resolve issues, and collaborate with cross-functional teams in an Agile environment while supporting CI/CD and release management.

Build and scale production Generative AI applications: design multi-agent systems and LangGraph workflows, implement advanced RAG with vector DBs, integrate and fine-tune LLMs, deploy FastAPI async services in Docker, and optimize GenAI performance, cost, and monitoring.

Analyze legacy TIBCO BusinessWorks/MFT processes to extract business logic, design and build a decoupled Java/Spring Boot microservices platform, migrate protocols to Kafka/RabbitMQ/REST, translate XML-heavy transformations to modern formats, and validate performance and SLAs to match legacy throughput.

Design, implement, and own end-to-end scalable ML systems and MLOps lifecycle (deployment, monitoring, metrics). Optimize models and system performance, work with Java/Python and TF/PyTorch, use CI/CD, Terraform, Docker/Kubernetes, lead inter-team communication, document work, and meet deadlines.

Build and maintain scalable React-based web applications using TypeScript and JavaScript. Create reusable UI components, integrate APIs, manage client-side state, optimize performance and accessibility, and collaborate with UX, backend, and product teams in a large engineering environment.

Design, develop, and maintain scalable full-stack applications for intermediary clearing and custody platforms. Collaborate with product, architecture, and engineering teams to modernize applications, implement cloud migrations, build APIs, automate workflows, and improve CI/CD, observability, security, and deployment practices in an Agile environment.

Build and maintain polyglot full-stack applications, architect scalable microservices, implement agentic AI/LLM workflows, develop modern frontends, manage AWS cloud infrastructure, and own the full software lifecycle including deployment and production monitoring.