Staff AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff AI Engineer (AI): Building and scaling LLM-powered products and RAG pipelines for healthcare intelligence with an accent on production-grade reliability and cost-efficiency. Focus on developing agents, tool-use systems, and implementing rigorous evaluation suites to eliminate hallucinations.
Location: Remote (Must be based in the US)
Salary: $210,000 – $280,000+
Company
Healthcare intelligence company providing AI-powered platforms to health plans to maximize financial outcomes and reduce costs.
What you will do
- Design and build LLM applications including RAG pipelines, agents, and multi-step workflows.
- Develop and maintain prompt engineering evaluations, treating evals as code.
- Integrate various foundation models (Claude, GPT, Gemini, Llama, Qwen, Mistral) based on use-case.
- Build production-grade infrastructure for caching, streaming, observability, and guardrails.
- Fine-tune or distill models using LoRA/QLoRA, SFT, and DPO when prompting is insufficient.
- Collaborate with product and design to create AI-specific UX patterns.
Requirements
- 3+ years of software engineering experience.
- At least 1 year of experience shipping LLM-based features in production.
- Proficiency in Python and TypeScript.
- Deep knowledge of the LLM stack: function calling, structured outputs, and vector search.
- Experience building and maintaining evaluation suites for AI models.
- Must be based in the US.
Nice to have
- Experience with agent frameworks and Model Context Protocol (MCP).
- Fine-tuning open-weight models or working with inference servers like vLLM, TGI, or SGLang.
- Background in security, red-teaming, or AI evals.
- Contributions to open-source AI tooling.
Culture & Benefits
- Digital-first environment with remote work allowed across the US.
- Comprehensive Medical, Dental, and Vision insurance offerings.
- 401(k) with company match, FSA, and HSA.
- Unlimited PTO and tuition reimbursement.
- Flexible and trusting work environment with high employee empowerment.
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