Artificial Intelligence Engineer

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

The Company

Crum & Forster (C&F), with a proud history dating to 1822, provides specialty and standard commercial lines insurance products through our admitted and surplus lines insurance companies.

Approaching $ 6 billion in written premium as of 2024, C&F enjoys an “A+” (Excellent) financial strength rating by A.M. Best.


C&F is part of Fairfax Financial Holdings, a global organization with $33.3 billion in revenue as of 2024.

Crum & Forster Services India (CFSI) is an India subsidiary of Crum & Forster Inc. The objective is to provide digital and IT services to C&F business units by creating autonomous squads focused on a specific product or a business team.


For more information about Crum & Forster, please visit our website: www.cfins.com.


Key Responsibilities

· Design, develop, and deploy AI agents using frameworks such as LangGraph, LangChain, AutoGen, and MCP (Model Context Protocol).

· Build and maintain the supervisor agent that routes user intents and contexts to specialized AI sub-agents.

· Architect and implement RAG (Retrieval-Augmented Generation) pipelines integrating vector databases, Azure Cognitive Search, and semantic indexing.

· Develop intelligent chatbots and automation workflows for enterprise use cases using LLMs (GPT, Claude, Gemini, etc.).

· Design and optimize prompt architectures, system prompts, and prompt chaining mechanisms.

· Work with Azure AI Services (Cognitive Search, OpenAI, AI Studio, Azure Graph) and integrate them with One AI’s backend.

· Implement secure, scalable cloud-based AI applications (preferably on Azure, with optional exposure to AWS or GCP).

· Develop and maintain vector stores (e.g., FAISS, Pinecone, Chroma, Azure Vector Search) for document intelligence and Q&A.

· Collaborate with product and engineering teams to implement agentic reasoning, context extraction, goal-driven routing, and LLM orchestration.

· Contribute to automation, model evaluation, and performance tuning for large-scale AI solutions.

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