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Circadia Health · 1 day ago

Senior AI Engineer

Los Angeles, CA

Full-time

Hybrid

Mid, Senior Level

$120K/yr - $220K/yr

5+ years exp

Circadia Health is a growth-stage healthcare AI company focused on preventing avoidable hospitalizations and improving senior-care operations. The Senior AI Engineer will design and implement LLM-powered agents for various healthcare applications, ensuring seamless integration and compliance while collaborating with stakeholders and driving project success.

Artificial Intelligence (AI)Medical DevicePredictive Analytics

Responsibilities

Join discovery calls with AEs; white-board data flows (HL7/FHIR, REST, Kafka); demonstrate rapid agent prototypes using Model Context Protocol (MCP), LangGraph, or AutoGen; and scope a clear implementation plan

Design, build, and refine autonomous workflows—configuring vector stores, grounding contexts, tool-calling, and EHR webhooks; validate HIPAA compliance; shepherd the solution to go-live

Align clinicians, engineers, executives, and IT on timelines and success metrics; drive accountability with crisp updates and relentless follow-through

Review agent logs, hallucination rates, and clinical outcomes; crush edge cases; publish ROI dashboards that excite the customer’s C-suite

Surface new agent use-cases (e.g., denial prevention, supply-chain optimization); scope them; and partner with Sales to close upsells

Travel on-site, run trainings, host executive readouts, and cultivate champions who rave about our 'unreasonable hospitality.'

Qualification

LLM agentsREST/JSON integrationsPython scriptingHealthcare IT experienceAgent frameworksHigh-growth startup experiencePolished communicatorExtreme ownership

Required

5–10 yrs in solutions / sales engineering, product‑minded software engineering, or technical founder role delivering customer‑facing builds end‑to‑end

Fluency with REST/JSON & webhook integrations; able to script quick glue code in Python or Node/TS

Comfortable orchestrating LLM agents (OpenAI Assistants, Anthropic Claude, etc.) and configuring MCPs, RAG pipelines, or similar context‑management layers

Evidence of extreme ownership —times you “ran through walls” to ship mission‑critical outcomes

Polished communicator who can translate transformer‑model quirks, predictive‑model outputs, and healthcare regulations to audiences ranging from CNAs to CTOs

Thrive in the intensity of a high‑growth startup; comfortable juggling multiple deployments at pace

Willing to spend the first month embedded with the LA engineering team; thereafter hybrid Los Angeles + ~25 % travel to customer sites