Senior AI Engineer - Healthcare LLM Platforms

vibehackers

San Francisco, Northern (CA, KY)

Hybrid

USD 170,000 - 210,000

Full time

2 days ago
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Job summary

vibehackers in California is seeking a Senior Software Engineer (AI) to design, build, and operate LLM-powered features for healthcare workflows, emphasizing safety and measurable outcomes in a hybrid Palo Alto / San Francisco environment.

You will own end-to-end AI feature development, including prompting, retrieval, and production operations, while collaborating with clinical, product, and safety stakeholders.

Qualifications

  • Requires 6+ years of software engineering experience with recent time building production LLM/ML features
  • Strong Python coding skills; full-stack comfort
  • System design for AI systems (retrieval, orchestration, caching, evaluation, cost and latency tradeoffs)
  • Hands-on with AI coding tools (Claude Code, Cursor, Copilot) and rapid adoption of new techniques
  • Strong mentorship and collaborative communication; explain model behavior to stakeholders
  • Rigorous evaluation and safety in production

Responsibilities

  • Design, build, and ship LLM-powered features end-to-end including prompt design, retrieval, tools, agents, evaluation, and production operations
  • Build evaluation harnesses and feedback loops for responsible AI feature deployment
  • Integrate AI capabilities into patient, clinician, and operational workflows
  • Partner with clinical, product, and safety stakeholders to define success criteria and safety
  • Contribute to internal AI-for-engineering practices and tooling
  • Stay updated on research and ecosystem developments and operationalize advances

Job description

vibehackers in California is seeking a Senior Software Engineer (AI) to design, build, and operate LLM-powered features for healthcare workflows, emphasizing safety and measurable outcomes in a hybrid Palo Alto / San Francisco environment.

You will own end-to-end AI feature development, including prompting, retrieval, and production operations, while collaborating with clinical, product, and safety stakeholders.

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