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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.
Job ID: 131399079
Skills:
Git, Docker, Kubernetes, Python, LangChain, embedding pipelines, Hugging Face, Anthropic, Vector DBs, LangGraph, Llama, OpenAI
Skills:
Microservices, Tensorflow, Numpy, Nlp, Pytorch, Python, AWS, Apis, Machine Learning Algorithms, Sql, Deep Learning, Gcp, Pandas, Azure, Model fine-tuning, Hugging Face, MLflow, RAG architectures, LangChain, Generative AI, NoSQL databases, Scikit-learn, cloud platforms, CI CD pipelines, MLOps concepts
Skills:
Python, Sql, Rest API Development, Vector databases
Skills:
Python, decision-making systems, symbolic reasoning, Auto Gen, LLMs, cognitive architectures, Lang Chain, reinforcement learning
Skills:
Java, Typescript, Python, LangGraph, LangChain, Full-Stack Engineering
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