Note: The job is a remote job and is open to candidates in USA. Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. We're hiring an AI Engineer to build LLM-powered products that actually ship, focusing on integrating and optimizing AI models for production environments.

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
• 401(k) with company match
• Unlimited PTO
• Additional health and wellness benefits and perks
• Meaningful equity
• Flexible and trusting environment where you’ll feel empowered to do your best work

Company Overview

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