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. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
We're hiring an AI Engineer to build LLM-powered products that actually ship. You'll live at the seam between research and production — turning models, prompts, and retrieval into reliable systems users depend on. Less "train a model from scratch," more "make foundation models do useful work at scale, cheaply, and without hallucinating."
What you'll do
- 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)
What we're looking for
- 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
Nice to have
- 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
What we offer
- 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
The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels and the base salary can range from $210k-$280k+ based on your assessed level. Compensation also includes meaningful equity, healthcare, unlimited PTO, and more.
Skills Required
- 10+ years total professional experience
- 5+ years in product management roles
- Prior hands-on experience as data engineer, data scientist, or analytics engineer
- Proven track record shipping data products or platforms used by internal/external teams
- Experience driving execution in matrixed organizations without direct authority
- Demonstrated ability to assess complex technical landscapes and define future-state architectures
- Deep understanding of data modeling, normalization/denormalization, distributed systems, batch/streaming patterns, ETL/ELT design
- Advanced SQL proficiency
- Cloud data infrastructure experience (AWS preferred)
- Knowledge of modern data stack, including orchestration tools and BI platforms
- Agile/Scrum methodology experience
Machinify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Machinify and has not been reviewed or approved by Machinify.
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Healthcare Strength — Health coverage is described as employer-paid for employees with additional support for dependents, alongside dental, vision, mental health, and FSA/HSA options. Listings consistently depict comprehensive medical benefits.
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Leave & Time Off Breadth — Policies include unlimited PTO, paid holidays and sick time, and a weekly no‑meetings day. These elements indicate broad time‑off access alongside flexible scheduling.
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Parental & Family Support — Inclusive paid parental leave is stated at 14 weeks for birth and non‑birth parents. Family benefits are prominently featured across public materials.
Machinify Insights
What We Do
Machinify is an AI start-up in the Healthcare space. Our software platform leverages the latest advances in machine learning, large language models, data analytics, and cloud processing to solve previously intractable problems in the healthcare industry impacting millions of lives.
Why Work With Us
We are a heavily cross-functional, collaborative diverse team working together to solve big problems that matter. If you are looking for an exciting environment where you'll be challenged to do the best work of your career, consider joining us!
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