AI Engineer (Agentic Systems)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI Engineer (Agentic Systems): Building production-grade agentic systems to audit medical claims end-to-end with an accent on reasoning over coding and clinical guidelines. Focus on designing agent architectures from first principles, optimizing context windows, and developing rigorous evaluation harnesses to ensure expert-level accuracy.
Location: Remote (Must be based in the US)
Salary: $130k - $200k+
Company
A leading healthcare intelligence company providing an AI-powered platform to maximize financial outcomes and reduce healthcare costs for health plans.
What you will do
- Design agent systems from first principles, choosing between single-agent and multi-agent topologies.
- Engineer context windows, tool surfaces, and structured outputs for high-accuracy reasoning.
- Build and maintain rigorous evaluation harnesses to diagnose and fix agent failures.
- Utilize AI tools like Claude Code and Codex to plan, scaffold, and refactor code.
- Develop deep domain expertise in healthcare claims and medical coding guidelines.
Requirements
- 2–4 years of applied ML/AI engineering experience with a degree in CS, Math, or Engineering.
- Strong Python skills with a focus on clean abstractions and async code.
- Hands-on experience with agent SDKs such as OpenAI Agents, Anthropic, or LangGraph.
- Power-user fluency with Claude Code, Codex, VS Code, and git.
- Must be based in the United States.
Nice to have
- Experience with structured outputs using Pydantic or JSON Schema.
- Familiarity with reasoning models (o-series, Claude extended thinking).
- Knowledge of OCR, layout-aware models, or vision-language models.
- Production experience with LLM caching, observability, and cost control.
Culture & Benefits
- Digital-first environment allowing work from anywhere in the US.
- Comprehensive medical, dental, and vision insurance with FSA/HSA.
- Competitive salary and 401(k) with company match.
- Unlimited PTO and tuition reimbursement.
- Empowered, flexible, and trusting work culture.
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