Autonomize Ai

Job Summary:
Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. They are seeking a hands-on ML/LLM Engineer to build and optimize AI-native systems that blend structured and unstructured data for decision-making in high-stakes domains.
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.
Qualifications:
Required:
• 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
Company:
Autonomize AI uses AI Agents to simplify some of healthcare’s most complex processes, transforming them into AI-native operations. Founded in 2022, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Growth Stage.