AI Engineer (Healthcare)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Engineer (Healthcare): Building and deploying pduction-grade LLM-powered features for a vertically integrated healthcare platform with an accent on orchestration layers, RAG, and agent workflows. Focus on developing bust evaluation suites and integrating AI into clinical workflows to impve patient outcomes and operational efficiency.
Location:
Company
is a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics to pvide a seamless, patient-centric experience.
What you will do
- Build and ship pduction LLM-powered features for patient-facing pducts and clinical workflows.
- Develop AI application layers including pmpt orchestration, tool calling, and RAG systems.
- Create and iterate on evaluation suites, including synthetic datasets and LLM-as-a-judge frameworks.
- Connect LLMs to internal systems, APIs, and operational workflows.
- Partner with clinical teams and EHR operators to identify and automate high-impact workflows.
- Contribute to AI infrastructure, tooling, and engineering best practices.
Requirements
- 1–4 years of software engineering experience with hands-on work building LLM-powered applications.
- Stng pficiency in
hirify.globalng>Python hirify.globalng> and experience building backend services. - Pven experience building at least one LLM-powered application or feature.
- Ability to work thugh ambiguity and learn new technologies rapidly.
hirify.globalng>Must be authorized to work in the United States. hirify.globalng>
Nice to have
- Experience with orchestration frameworks like LangChain, LangGraph, or AgentCore.
- Knowledge of RAG architectures and vector databases.
- Familiarity with evaluation and observability platforms such as LangSmith, Braintrust, or Arize Phoenix.
Culture & Benefits
- Performance-driven team culture with a stng sense of ownership.
- Opportunity to work on high-scale systems in a mission-driven healthcare envinment.
- Collaborative envinment working alongside experienced technical leaders and clinicians.
- Focus on rapid ptotyping and real-world impact.
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