About The Position

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.

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

Nice To Haves

  • Experience working in healthcare insurance payer space (payer domain knowledge)

Responsibilities

  • 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)
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