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.
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
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