AI / LLM Engineer

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.

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Requirements

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.