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

Lead design and deployment of production-grade agentic AI systems for healthcare. Architect scalable multi-agent orchestration, data curation pipelines, evaluation frameworks, and translate ML research to secure, low-latency clinical applications while mentoring engineers and collaborating with clinical and product teams.

Lead QA for end-to-end system and user workflows by performing manual and automated testing, building and maintaining automation frameworks, integrating tests into CI/CD, validating integrations and distributed systems, tracking defects, supporting release and regression validation, and improving testing strategy and quality metrics in Agile teams.

Design and maintain backend infrastructure and tooling for an AI evaluations platform. Build production-grade evaluation frameworks for ASR, LLMs, TTS, knowledge bases, and guardrails. Implement API/data integrations, test configuration management, reporting, observability, and debugging tools. Partner with ML, engineering, and QA to operationalize evaluations, enable regression detection and continuous monitoring, and improve developer experience and reliability.

Lead validation and test automation for data pipelines, APIs, and AI-driven workflows. Design and execute ETL and data-quality tests, build automation frameworks, perform manual validation for edge cases, triage production data issues, and collaborate with ML, Data, and Engineering teams to ensure reliability, scalability, and compliance for healthcare data products.

Drive nationwide provider sales to large health systems: build pipeline, generate leads, lead RFPs, develop executive relationships, close complex deals, and collaborate cross-functionally to grow revenue and shape commercial strategy.

Lead design, build, and operate a secure, scalable data platform to support analytics, MLOps, and BI. Architect data warehousing (Databricks, dbt, Spark), build ETL pipelines, optimize cloud storage and processing in GCP/AWS, implement LLM infrastructure and serving, create observability and BI dashboards, and ensure data governance and regulatory compliance (HIPAA/SOC-2). Collaborate with Data Science, ML, App, and DevOps teams.

Design, build, and scale TypeScript-based backend services and React frontends for a conversational AI healthcare platform. Own APIs, microservices, databases, CI/CD, security/HIPAA compliance, integrations (Zitadel, scheduling systems), monitoring, incident response, and mentor junior engineers to improve reliability and performance.

Design, build, and scale backend APIs, microservices, and orchestration layers for a conversational AI healthcare platform. Ensure secure, HIPAA-compliant integrations (EHRs, FHIR), optimize performance and reliability, manage databases and data pipelines, maintain CI/CD and production services, troubleshoot incidents, and mentor junior engineers.

Lead design and maintenance of automated test frameworks and suites for Salesforce applications. Validate end-to-end workflows, Apex logic, LWC components, and API integrations. Integrate tests into CI/CD, track defects, create test plans and data strategies, and collaborate with Product, Engineering, and DevOps within Agile processes.

Lead QA for enterprise conversational AI deployments: design workflow-specific test cases, build AI-driven automated tests, validate prompts, perform daily LLM root cause analysis, debug live calls, monitor ASR/S2S pipelines, and collaborate with engineering and client stakeholders to ensure stable production deployments.