AI LLM Engineer

Venture Informatrix Inc; Visakhapatnam; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Venture Informatrix Inc. is seeking an AI/LLM Engineer to own the intelligence layer of ACORDAI, an AI-native insurance SaaS platform. You will design RAG pipelines, build the AI Copilot, and craft agentic workflows that automate complex insurance processes.

Responsibilities include building RAG pipelines, extracting data from documents, and developing the AI Copilot for agents, underwriters, and claims handlers. Strong Python, REST APIs, and prompt engineering skills are required.

Qualifications

• 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 evaluation pipelines.

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 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.

Skills

LLM production apps

LangChain/LangGraph

Python

REST APIs

RAG systems

Prompt engineering

Vector databases

Tools

PostgreSQL

Redis

AWS

Docker

Job description

Job Description

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.

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.