• Develop scalable, production-ready LLM applications using frameworks like LangChain/LangGraph • Build robust RAG pipelines and integrate knowledge graphs for biological and clinical data • Write maintainable, high-performance code and build clean APIs and services for machine learning applications • Work with data engineers to build and optimize data workflows and pipelines for high-quality data ingestion and processing • Collaborate with product and domain teams to rapidly prototype AI solutions, iterate based on feedback, and scale models for production • Use modern MLOps tools to deploy and monitor models in production environments (AWS preferred) • Partner with engineering, data, and business teams to identify and develop high-value AI/ML applications • Stay ahead of the curve on emerging ML frameworks, GenAI capabilities, and healthcare technologies