Senior Software Engineer, AI Engineer
Job Description
Design and deliver LLM-powered capabilities that are safe, well-evaluated, and integrated into real clinical and operational workflows.
Responsibilities
- Design, build, and ship LLM-powered features end-to-end, including prompt design, retrieval, tool use, agents, evaluation, and production operations
- Develop evaluation harnesses and feedback loops to support responsible release of AI features
- Embed AI capabilities deeply into patient, clinician, and operational workflows
- Collaborate with clinical, product, and safety stakeholders to define what “good” looks like
- Improve internal AI-for-engineering practices and tooling
- Stay close to research and the ecosystem, translating strong ideas back into the team’s engineering work
Requirements
- 6+ years of software engineering experience, including meaningful recent time building production LLM / ML features
- Strong hands-on coding ability in Python; comfortable spanning the stack when the feature needs it
- System design experience for AI systems, including retrieval, orchestration, caching, evaluation, and cost and latency tradeoffs
- Deep, hands-on command of modern AI coding tools; consistently adopts new techniques from the frontier
- Mentorship instincts and willingness to share what you learn
- High standards for evaluation and safety, avoiding vibes-only launches
- Strong communication; able to explain model behavior to non-technical stakeholders
- Low-ego, curious, and humble
Technologies
- Python
- LLM
- ML
- Claude Code
- Cursor
- Copilot
Location and Employment
- San Francisco, CA (hybrid)
- Hybrid by design: two days per week in-office (Tuesday and Thursday) in Palo Alto or San Francisco
- Full-time W2
Compensation
- USD 170,000 - 210,000 per year
Nice to Have
- Experience with healthcare, clinical NLP, or regulated AI deployments
- Experience building agentic systems or production RAG at scale
Interview Process
- Recruiter Screen (30 min)
- Hiring Manager Screen (45 min)
- Live Technical Assessment (3 sessions, 150 min total)
- On-Site Interview and Lunch (4 sessions, 150 min total)
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