обновлено 2 дня назад
Senior AI Engineer (Healthcare)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (Healthcare): Building and shipping production LLM-powered features for a vertically integrated healthcare platform with an accent on orchestration, retrieval systems, evaluation infrastructure, and operational safety. Focus on designing reliable AI workflows, measuring accuracy and model behavior in production, and translating clinical operations into scalable technical solutions.
Location:
Company
is building a vertically integrated healthcare platform connecting telehealth, diagnostics, pharmacy, and logistics for millions of patients.
What you will do
- Design, build, and ship pduction LLM-powered features end to end.
- Develop the AI application layer with pmpt orchestration, tool calling, retrieval, embeddings, agent workflows, and structured outputs.
- Build evaluation infrastructure with regression suites, LLM-as-a-judge evaluations, synthetic datasets, human review workflows, and quality metrics.
- Design pduction observability for accuracy, latency, cost, hallucination rates, and model behavior.
- Build safety and reliability guardrails and evaluate third-party AI tools, frameworks, vector databases, and model pviders.
- Work directly with EHR operators, Patient Advocates, and clinical teams while pviding technical leadership thugh system design, code reviews, and mentorship.
Requirements
- 5+ years of pduction software engineering experience.
- At least 1–2 years building and deploying LLM-powered applications in pduction, or equivalent experience thugh substantial side pjects or open-source work.
- Stng Python engineering skills, including backend service development and integration with modern AI APIs and frameworks.
- Experience shipping AI features used by real users and measuring quality, reliability, latency, cost, and business impact.
- Stng pduct instincts and the ability to translate ambiguous operational pblems into technical solutions.
- Comfort using AI-assisted development tools thughout the software development lifecycle.
Nice to have
- Experience with LangChain, LangGraph, AgentCore, RAG architectures, vector databases, pmpt and version management, or evaluation and observability platforms such as LangSmith, Braintrust, or Arize Phoenix.
Culture & Benefits
- Work on healthcare systems operating at scale with direct real-world patient impact.
- Own systems end to end, fm architecture thugh pduction performance.
- Collaborate with technical leaders, experienced operators, clinicians, and clinical teams.
- Build quickly with tight feedback loops, early releases, measurement, and iteration based on real-world usage.
- Join a performance-driven envinment with high engineering standards, stng ownership, and urgency.
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