Role Description
We're looking for a Senior AI Engineer to design and ship production agents that synthesize real-time clinical data, surface proactive care recommendations, and take action on behalf of clinicians. You will take agent architectures from prototype to production in a domain where reliability directly affects patient outcomes.
You'll own the full lifecycle of AI-powered clinical workflows:
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Retrieval
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Reasoning
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Tool use
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Evaluation
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Safety guardrails
If you've built agentic systems at scale and want your work to matter beyond engagement metrics, we’d love to speak with you.
WHAT YOU’LL DO:
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Design, build, and deploy clinical AI agents that reason over patient context, invoke tools, and generate care recommendations.
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Own reliability, observability, and cost efficiency of LLM-powered workflows at scale.
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Build and optimize RAG pipelines over clinical knowledge bases, treatment protocols, and real-time patient data.
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Develop evaluation frameworks: offline benchmarks, safety tests, regression suites, and LLM-as-judge pipelines wired into CI/CD.
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Design multi-step agent orchestration: planning, memory, tool use, error recovery, and human-in-the-loop escalation paths.
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Collaborate with clinical, product, and engineering teams to translate patient care needs into AI system design.
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Stay at the forefront of AI and engineering best practices, continuously pushing the team to raise the bar on quality, performance, and architecture.
Qualifications
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Bachelor's or Master’s degree in Computer Science, Engineering or related field, or equivalent work experience
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5+ years of software engineering experience, with 2+ years building AI/ML-powered systems in production
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Hands-on experience with LLM APIs (OpenAI, Anthropic, open-source models) including prompt engineering, tool use / function calling, and structured outputs
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Experience building RAG systems: embeddings, vector stores, retrieval optimization, and grounding
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Experience in a high-growth, fast-paced environment with end-to-end ownership from design through production
Requirements
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Experience with agent frameworks or orchestration patterns (tool calling, planners, multi-agent coordination)
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Fine-tuning experience (SFT, RLHF, LoRA) on domain-specific tasks
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Healthcare or regulated-industry experience (HIPAA, SOC 2, clinical data handling)
Benefits
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Autonomy to tackle big, complex problems that matter
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An opportunity to improve lives every single day
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A chance to shape a category‑defining company at scale
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Medical, dental, and vision insurance
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Competitive total compensation and meaningful equity
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TelaDoc (virtual primary care)
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National and local discounts powered by TriNet
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Unlimited PTO and paid holidays
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Remote equipment setup and home office stipend
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Paid Parental Leave
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401K and 401K match
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Charitable Donation Match program