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[Remote] Staff AI Engineer

Remote, USA Full-time Posted 2026-06-16

Note: The job is a remote job and is open to candidates in USA. Machinify is a leading healthcare intelligence company focused on enhancing value and efficiency for health plans. They are seeking a Staff AI Engineer to develop LLM-powered products, bridging the gap between research and production by creating reliable systems that leverage advanced AI models.


Responsibilities

  • Design and build LLM applications: RAG pipelines, agents, tool-use systems, structured generation, multi-step workflows
  • Own prompt engineering and evaluation — write evals before you write prompts, and treat both as code
  • Integrate foundation models (Claude, GPT, Gemini, open-weight Llama/Qwen/Mistral) and know when to reach for which
  • Build the unglamorous infrastructure that makes LLMs production-grade: caching, streaming, retries, fallbacks, cost controls, observability, guardrails
  • Fine-tune or distill models when prompting hits a wall (LoRA/QLoRA, SFT, DPO)
  • Partner with product and design on UX patterns specific to AI (latency masking, streaming UIs, confidence display, human-in-the-loop)

Skills

  • 3+ years of software engineering, with at least 1 year shipping LLM-based features in production
  • Strong Python and TypeScript; comfortable in a real codebase, not just notebooks
  • Deep practical knowledge of the LLM stack: prompting techniques, function calling, structured outputs, context management, embedding models, vector search
  • Have built and maintained an eval suite — and have opinions on why most public benchmarks are misleading
  • Comfortable with at least one orchestration approach (custom, LangGraph, Inngest, Temporal) and one vector store (pgvector, Pinecone, Turbopuffer, Weaviate)
  • Cost- and latency-aware: can read a token bill and a trace and know where to cut
  • Clear communicator who can push back when 'just add AI' isn't the right answer
  • Experience with agent frameworks and MCP (Model Context Protocol)
  • Fine-tuning experience on open-weight models, or work with inference servers like vLLM/TGI/SGLang
  • Background in security, evals, or red-teaming for LLM systems
  • Contributions to open-source AI tooling

Benefits

  • Work from anywhere in the US! Machinify is digital-first.
  • Top Medical/Dental/Vision offerings
  • FSA/HSA
  • Tuition reimbursement
  • Competitive salary, 401(k) with company match
  • Unlimited PTO
  • Additional health and wellness benefits and perks
  • Flexible and trusting environment where you’ll feel empowered to do your best work
  • Meaningful equity
  • Healthcare

Company Overview

  • Machinify is a SaaS platform that enables non-technical enterprises to build AI-powered products and processes. It was founded in 2016, and is headquartered in Palo Alto, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.machinify.com.

  • Company H1B Sponsorship

  • Machinify has a track record of offering H1B sponsorships, with 5 in 2026, 12 in 2025, 6 in 2024, 3 in 2023, 3 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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