Sprinter Health
AI Enablement Engineer (Senior / Staff)
$180K–$260K
San Francisco, CA · Hybrid · Staff · Full-time · Posted Jul 20, 2026
About the job
Build and enable safe, measurable AI-powered workflows, tools, and practices across Sprinter Health’s teams.
What you'll do
- Identify high-value AI use cases with cross-functional teams and build agents, internal tools, workflows, and automations.
- Create reusable AI resources, evaluations, deployment patterns, and safeguards for patient data.
- Train and support teams in AI adoption, and measure adoption, productivity, quality, and operational impact.
What they ask for
- Production-quality software development in Python, TypeScript, or similar languages.
- Hands-on experience with LLMs, AI assistants, agents, tool calling, structured outputs, RAG, or other applied AI patterns.
- Experience building internal tools, automations, workflows, developer productivity tooling, AI-enabled applications, or agentic systems.
- Experience with AI or software evaluations/QA, production release processes, stakeholder requirements gathering, and team enablement.
Nice to have
- Senior, Staff, or equivalent cross-team scope; experience building AI platforms, agent frameworks, evaluation systems, or workflow automation.
- Experience with MCP servers, healthcare data or PHI, regulated environments, or safe AI-tool deployment.
Pay
$180K – $260K (base salary)
Tools
Python, TypeScript, LLMs, RAG, MCP servers, Claude Code, Cursor, CI/CD
AI focus
Company-wide AI enablement: developing agents and workflows, integrating AI tools, establishing evaluations and safe deployment practices, and training teams to adopt AI responsibly.
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