ML/LLM Engineer – Applied AI
Autonomize AIabout 2 months ago
Austin, TX, United States
Remote
Full-time
Junior Level (1-3 years)
Job Description
Position Overview
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.
We are seeking a hands-on ML/LLM Engineer excited to ship real-world applications — not just benchmarks. In this mid to senior-level role, you will build and optimize AI-native systems that blend structured and unstructured data to power decisions in high-stakes domains. You’ll tackle applied ML challenges ranging from retrieval to routing to generation, shipping solutions that truly deliver impact.
Key Responsibilities
- 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.
Required 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.
Benefits & Perks
- A chance to make a real impact in the future of healthcare.
- Autonomy, ownership, and the ability to chart your own growth path.
- Compensation: Competitive compensation and benefits.
- 100% employer-paid health, vision, and dental insurance.
- Retirement plans (401k), disability insurance, and employee assistance programs.
Required Skills
Python
LlamaIndex
Prompt Tuning
Vector Search
LLM Fine-tuning
Transformers
LangChain
PyTorch
Retrieval Augmented Generation
Applied Machine Learning
Model Evaluation