Senior Agentic AI Enablement Engineer

Job not on LinkedIn

🔥 1 minute ago

🏖️ New Jersey – Remote

🏖️ New Jersey – Remote

💵 $130k - $214k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

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Crum & Forster

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🛡️ Insurance

⚕️ Healthcare Insurance

Insurance • Healthcare Insurance

Crum & Forster (C&F) is a leading national property & casualty insurance company with a large, diversified specialty platform. Established in 1822, C&F provides specialty and standard commercial lines insurance products through its admitted and surplus lines insurance companies. With a written premium of $5. 3 billion as of 2023, C&F has an A. M. Best financial strength rating of “A” (Excellent). The company prides itself on creative, flexible, and client-focused solutions, recognized for superior customer service, claims, and risk engineering services. C&F employs over 2000 people across the United States and has earned several workplace awards for its employee-first focus and commitment to diversity, equity, and inclusion. C&F is part of Fairfax Financial Holdings Limited, engaged in property and casualty insurance and reinsurance.

📋 Description

• Build multi-agent workflows across planner, retrieval, tool-calling, and validation steps • Implement context engineering, agent memory, state management, escalation paths, autonomy boundaries, human-in-the-loop checkpoints, deterministic guardrails, and audit trails • Develop and integrate tools and services through Model Context Protocol and enterprise APIs • Build retrieval pipelines over submissions, claims files, and financial records • Perform document parsing, chunking, embeddings, hybrid search, and reranking • Tune retrieval quality and grounding using hit rate, MRR, and citation accuracy • Rapidly prototype agents on Amazon Bedrock and Bedrock AgentCore • Build reusable reference implementations, SDK components, and patterns • Harden successful prototypes into production-ready components • Build evaluation harnesses with golden datasets, LLM-as-judge scoring, and CI/CD regression gates • Instrument agents with tracing, observability, latency, and cost monitoring • Work with the reliability engineering pod on production quality • Pair with AI execution pods, review code, and unblock delivery • Contribute to technical design reviews and architecture decisions • Mentor engineers across US and India teams

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent experience • 8+ years of software engineering experience • 3+ years building Generative AI or agentic AI solutions • At least one production Generative AI or agentic AI solution • Strong Python engineering skills and production-quality tested code experience • Hands-on experience with LangGraph, LangChain, or equivalent LLM orchestration frameworks • Experience with tool calling and multi-step agent workflows • Hands-on experience building retrieval-augmented generation pipelines with vector databases, embeddings, and reranking • Experience with AWS, including serverless and containerized services • Experience implementing LLM evaluation and testing approaches • Solid grounding in API design, CI/CD, and secure development practices • Experience with Amazon Bedrock, Bedrock AgentCore, Bedrock Guardrails, or Bedrock Knowledge Bases preferred • Experience building or deploying MCP servers and tool integrations preferred • Experience with LangSmith or OpenTelemetry preferred • Experience with TypeScript or another modern language in addition to Python preferred • Experience in Property & Casualty insurance or another regulated industry preferred • Experience working with distributed teams across US and India time zones preferred

🏖️ Benefits

• Competitive compensation package • Generous 401K employer match • Employee Stock Purchase plan with employer matching • Generous Paid Time Off • Health, dental, and vision benefits • Physical, mental, and financial wellbeing programs • Tuition reimbursement • Industry-related certifications • Professional training • Dynamic, ambitious, fun, and exciting work environment • Matching donation program • Volunteer opportunities • Employee-driven corporate giving program

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