Senior Software Engineer - AI

Roles and Responsibilities:\n- Join Truveta’s Intelligence Platform and Applications (IPA) team to build the next wave of healthcare AI — developing adaptive agentic systems and fine-tuned foundation models that continuously learn, reason, and accelerate real-world impact. Guided by Truveta’s mission of Saving Lives with Data, you’ll help transform how health data becomes intelligence, powering breakthroughs that enable researchers, clinicians and operational managers to make data-driven, proactive, and impactful decisions. We firmly believe that patients, doctors, and medical researchers deserve to benefit from the artificial intelligence revolution that is transforming productivity, creativity, and communication. You’ll help shape the AI capabilities that make healthcare more intelligent, efficient, and equitable — driving real-world impact across research, care delivery, and patient outcomes. If you’re seeking a sense of purpose and are motivated to advance how AI supports learning, decision-making, and discovery in healthcare, you’ll find this an inspiring place to grow.\n\n- We are seeking AI Engineers who thrive at the intersection of agentic and applied AI, machine learning, and large-scale engineering. You’ll blend ML craftsmanship with platform engineering excellence to create scalable, self-improving AI agents and models that learn from vast, diverse healthcare data and deliver meaningful insights through automation and reasoning. As part of the IPA team, you’ll use your expertise in applied AI, model optimization, and agentic intelligence to create systems that think, adapt, and improve R&D, business strategy, operations and care delivery across the healthcare ecosystem. You’ll work in an ambitious, fast-paced and collaborative environment where every contribution helps make healthcare more connected, intelligent, and impactful.\n\n- Required skills\n - Agentic AI\n - ML\n - LLMs\n - Solid understanding of classical ML, and LLM fundamentals — transformer architectures, attention mechanisms, tokenization principles. Embeddings, context windows, model scaling laws.\n - Model fine-tuning with LoRA, PEFT, TRL.\n - Embeddings and vector stores; RAG pipelines; FAISS, Pinecone, Chroma, Azure AI Search.\n - Experience with cloud environments (Azure, AWS, GCP).\n - Strong software engineering fundamentals; Python; FastAPI; Docker/Kubernetes; CI/CD; Git.\n - Agentic AI frameworks (LangGraph, AutoGen, CrewAI); MCP and A2A interoperability.\n - Vector databases and embeddings; semantic-search pipelines.\n - Strong communication and teamwork.\n\n- Why Truveta? Be a part of building something special. Join us as we build an amazing company together.