Build and optimize production AI systems combining classical machine learning and LLMs. Responsibilities include fine-tuning and evaluating models, implementing retrieval pipelines, prompt chaining, inference orchestration, and agent-based architectures. The role also focuses on improving model quality, latency, explainability, safety, and observability while collaborating with product and engineering teams on healthcare and biopharma applications.
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
How to Apply
Please submit your resume and a brief cover letter to [email protected] explaining why you are the ideal candidate for this role. We are excited to meet someone who is eager to bring their skills, enthusiasm, and creativity to our team!
Autonomize AI Austin, Texas, USA Office
Austin, Texas, United States
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