Sprinter Health

AI Enablement Engineer (Senior / Staff)

San Francisco, CA, Remote. Posted 3 months ago

The role

You will help every team at Sprinter build, adopt, and safely scale AI-powered workflows. You will build bespoke agents, internal workflows, and training programs to raise AI fluency across the company.

What you will do

  • Define and drive Sprinter’s AI enablement strategy across multiple functions
  • Embed with teams to identify high-leverage AI use cases and translate needs into technical solutions
  • Build bespoke agents, background workflows, internal tools, and automations
  • Create reusable playbooks, prompt libraries, skill libraries, and workflow templates
  • Stand up shared context and knowledge systems for AI tools
  • Evaluate, configure, and recommend AI tools
  • Tune AI coding assistants and agentic workflows to Sprinter’s codebases
  • Build evaluation sets, benchmarks, and review patterns
  • Establish safe, repeatable deployment patterns for AI-built applications
  • Partner with SRE, IT, Security, Legal, and clinical stakeholders on tool approval and deployment

Required qualifications

  • Built production-quality software in Python, TypeScript, or similar languages
  • Worked hands-on with LLMs, AI assistants, agents, tool calling, structured outputs, RAG, or other applied AI patterns
  • Built internal tools, automations, workflows, developer productivity tooling, AI-enabled applications, or agentic systems
  • Designed practical evaluations, benchmarks, or QA processes for AI workflows or software systems
  • Worked with CI/CD, testing, deployment pipelines, or production release processes
  • Gathered requirements from non-technical stakeholders and translated them into technical solutions
  • Enabled teams through documentation, training, office hours, workshops, hackathons, or reusable templates
  • Used AI coding assistants such as Claude Code, Cursor, or similar tools
  • Made practical tradeoffs between speed, safety, usability, maintainability, and cost
  • Communicated technical concepts clearly to audiences ranging from engineers to executives
  • Operated in fast-moving, ambiguous environments

Nice to have

  • Operated at Senior, Staff, or equivalent scope, driving technical decisions across multiple teams
  • Built internal AI platforms, agent frameworks, evaluation systems, workflow automation platforms, or developer productivity tooling
  • Helped a company or team adopt AI tools in a measurable, repeatable way
  • Experience standing up a centralized prompt library, skill library, workflow library, or knowledge/context hub
  • Worked with MCP servers, internal tool integrations, RAG systems, or AI agents connected to real business systems
  • Experience with healthcare data, PHI, HIPAA-aware workflows, or regulated environments
  • Partnered with security, IT, legal, compliance, or clinical teams to approve and deploy AI tools safely
  • Public or internal track record of teaching, writing, workshops, talks, or training
  • Worked in a startup or high-growth environment

Benefits

  • Meaningful pre-IPO equity
  • Medical, dental, and vision plans 100% paid for you and your dependents
  • Flexible PTO
  • 10 paid holidays per year
  • 401(k) with match
  • 16-week parental leave policy for birthing parent
  • 8 weeks for all other parents
  • HSA + FSA contributions
  • Life insurance
  • short and long-term disability coverage
  • Free daily lunch in-office
  • Annual learning stipend

Before you apply

  • Recruiter Screen
  • Hiring Manager Interview
  • Hands-on Technical Assessment
  • Onsite Interview
  • References

About the company

Sprinter Health reimagines how people access care by bringing it directly to their homes. The team has raised over $125M from investors like a16z, General Catalyst, GV, and Accel.

AI Enablement Engineer (Senior / Staff) at Sprinter Health | JobZoey