Senior Agentic AI Enablement Engineer
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Job Description
Senior engineer building production agentic AI systems for Crum & Forster’s property and casualty insurance business. Developing AWS orchestration, retrieval, evaluation, and observability components.
Responsibilities:
- 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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