AI LLM Engineer

About the Role

We are looking for an AI/LLM Engineer to build and own the intelligence layer of ACORDAI an AI-native insurance SaaS platform. You will design RAG pipelines, build the AI Copilot, and develop agentic workflows that automate complex insurance processes.

Responsibilities

• Build and maintain RAG pipelines for document ingestion and retrieval.
  
• Extract structured coverage data from forms and documents.
  
• Develop the AI Copilot for agents, underwriters, and claims handlers.
  
• Design agentic workflows using LangGraph for multi-step insurance automation.
  
• Build risk scoring models combining structured data with LLM-derived signals.
  
• Write, version, and optimize prompts for OpenAI and other frontier models.
  
• Create evaluation pipelines to measure accuracy, latency, and reliability.
  
• Monitor AI features in production and iterate based on quality metrics.
  

Tech Stack

• LLMs: OpenAI GPT-4o, Anthropic Claude
  
• Orchestration: LangChain, LangGraph
  
• Vector Search: pgvector, Pinecone
  
• Backend: Python, FastAPI
  
• Database: PostgreSQL, Redis
  
• Infrastructure: AWS / Azure, Docker
  

Requirements

• 3+ years building LLM-powered production applications.
  
• Hands-on experience with LangChain and/or LangGraph.
  
• Strong Python skills and experience with REST APIs.
  
• Experience designing and deploying RAG systems.
  
• Familiarity with vector databases and semantic search.
  
• Solid understanding of prompt engineering and context management.
  
• Experience building LLM evaluation pipelines.
  

Nice to Have

• Experience in insurance, fintech, or legal tech.
  
• Familiarity with structured PDF data extraction.
  
• Knowledge of fine-tuning or open-source model deployment.