Required Skills - AI, LLM, Agentic (Python) Job Duties - Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python Design and implement RAG pipelines over enterprise data using embeddings and vector databases Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain Integrate AI systems with APIs, backend services, and cloud platforms Establish evaluation, reliability, and performance strategies (accuracy, latency, cost) Job Requirements - - 2/3 years hand-on experience developing Agentic workflows Strong Python expertise with experience building and deploying production-grade backend systems Hands-on experience developing applications using LLMs, including prompt engineering and orchestration Proven experience with RAG architectures, embeddings, and vector databases Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen) Strong system design skills with experience building and scaling cloud-based applications Desired Skills & Experience - - Experience working in healthcare insurance payer space (payer domain knowledge) Ideally someone onsite 3x week but very open to 100% remote for the right candidate One. This role owns the end-to-end development of intelligent solutions-from architecture to deployment-leveraging Python, modern LLM frameworks, and scalable system design.