Senior AI Engineer - Agentic Systems and LLM

About the Role

We are seeking a senior AI engineer to design and build production‑grade LLM‑powered applications and agentic systems. This role owns the end‑to‑end development of intelligent solutions from architecture to deployment leveraging Python, modern LLM frameworks, and scalable system design.

• AI, LLM, Agentic (Python)

• 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 Lang Chain
• Integrate AI systems with APIs, backend services, and cloud platforms
• Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)

• 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., Lang Chain, Lang Graph, Auto Gen)
• Strong system design skills with experience building and scaling cloud‑based applications

• 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