ML/LLM Engineer – Applied AI

Autonomize AI; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Vision insurance

Dental insurance

401k plan

Disability insurance

Job summary

Autonomize AI is transforming healthcare by blending structured and unstructured data to power decisions. We are seeking a hands-on ML/LLM Engineer to ship real-world AI applications, not just benchmarks, at a mid-to-senior level.

You will own pipelines, fine-tune LLMs, and work with product and engineering teams to deliver production-ready AI features in healthcare and biopharma. Join us to push the boundaries of applied ML and responsible AI.

Qualifications

• 3–6 years of applied ML experience with 1–2 years on LLMs.
• Strong Python skills and familiarity with ML/LLM frameworks.
• Experience with embeddings, vector search, and retrieval pipelines.
• Experience in healthcare or regulated environments.

Responsibilities

• Own and optimize pipelines that combine classical ML and LLM-based systems (RAG, scoring, summarization).
• Fine-tune and evaluate LLMs using open-source and proprietary data.
• Collaborate with product and engineering teams to build real-world applications in healthcare and biopharma.
• Implement retrieval strategies, prompt chaining, and inference orchestration for production use cases.
• Monitor and improve model quality, latency, explainability, and safety.
• Stay ahead of the curve in LLM evaluation, tuning, and agent-based architectures.

Skills

Python

ML frameworks (PyTorch)

LLM frameworks

Vector search

Prompt tuning

Observability

Tools

PyTorch

Transformers

LangChain

LlamaIndex

Job description

About Autonomize AI

Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. We reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters — improving lives. We're growing fast and looking for bold, driven teammates to join us.

The Opportunity

We're looking for a hands-on ML/LLM Engineer who’s excited to ship real-world applications — not just benchmarks. You’ll help us build and optimize AI-native systems that blend structured and unstructured data to power decisions in high-stakes domains. This is a mid to senior-level role for someone who’s ready to go deep on applied ML problems — from retrieval to routing to generation — and ship solutions that deliver impact.

What You'll Do

• Own and optimize pipelines that combine classical ML and LLM-based systems (RAG, scoring, summarization, etc.)
• Fine-tune and evaluate LLMs using both open-source and proprietary data
• Collaborate with product and engineering teams to build real-world applications in healthcare and biopharma
• Implement retrieval strategies, prompt chaining, and inference orchestration for production use cases
• Monitor and improve model quality, latency, explainability, and safety
• Stay ahead of the curve in LLM evaluation, tuning, and agent-based architectures

Qualifications

• 3–6 years of experience in applied ML, with at least 1–2 years working with LLMs
• Strong Python skills and familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain, LlamaIndex, etc.)
• Comfort with embeddings, vector search, retrieval pipelines, and prompt tuning
• Bias for experimentation, clarity, and pushing things into production — fast
• Understanding of responsible AI practices, model evaluation, and observability
• Experience in healthcare, compliance-sensitive data, or regulated environments

What We Offer

• A chance to make a real impact in the future of healthcare
• Autonomy, ownership, and the ability to chart your own growth path
• Competitive compensation and benefits
100% employer-paid health, vision, and dental insurance
• Retirement plans (401k), disability insurance, employee assistance programs