Senior Agentic AI Enablement Engineer

This is a fully remote position, open to applicants in New Jersey.

📋 Description

• Develop workflows involving multiple agents across planning, retrieval, tool invocation, and validation stages.

• Execute context engineering, manage agent memory, oversee state management, create escalation pathways, define autonomy limits, establish human-in-the-loop checkpoints, implement deterministic guardrails, and maintain audit trails.

• Design and integrate tools and services utilizing Model Context Protocol and enterprise APIs.

• Create retrieval pipelines for submissions, claims files, and financial documentation.

• Conduct document parsing, chunking, embedding, hybrid searching, and reranking processes.

• Enhance retrieval quality and grounding by applying metrics such as hit rate, MRR, and citation accuracy.

• Quickly prototype agents using Amazon Bedrock and Bedrock AgentCore.

• Develop reusable reference implementations, SDK components, and best practice patterns.

• Refine successful prototypes into components that are ready for production.

• Construct evaluation frameworks with golden datasets, LLM-as-judge scoring, and CI/CD regression checks.

• Equip agents with tracing, observability, latency tracking, and cost monitoring capabilities.

• Collaborate with the reliability engineering team to ensure production quality.

• Partner with AI execution teams, review code, and facilitate timely delivery.

• Participate in technical design evaluations and architectural decision-making.

• Guide engineers across teams in the US and India.

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent experience.

• Over 8 years of experience in software engineering.

• More than 3 years of experience in developing Generative AI or agentic AI solutions.

• At least one production-grade Generative AI or agentic AI solution implemented.

• Proficient in Python programming with experience in writing production-quality tested code.

• Practical experience with LangGraph, LangChain, or similar LLM orchestration frameworks.

• Familiarity with tool invocation and complex multi-step agent workflows.

• Practical experience in building retrieval-augmented generation pipelines using vector databases, embeddings, and reranking techniques.

• Experience with AWS services, including both serverless and containerized options.

• Proven experience in implementing LLM evaluation and testing methodologies.

• Strong foundation in API design, CI/CD processes, and secure development practices.

• Preferably experienced with Amazon Bedrock, Bedrock AgentCore, Bedrock Guardrails, or Bedrock Knowledge Bases.

• Preferably have experience in building or deploying MCP servers and tool integrations.

• Preferably knowledgeable in LangSmith or OpenTelemetry.

• Preferably experienced in TypeScript or another modern programming language alongside Python.

• Preferably experienced in Property & Casualty insurance or a similarly regulated sector.

• Preferably accustomed to collaborating with distributed teams across US and Indian time zones.

🏝️ Benefits

• Competitive compensation package.

• Generous employer matching for 401K plans.

• Employee Stock Purchase plan with employer matching.

• Ample Paid Time Off.

• Comprehensive health, dental, and vision insurance.

• Programs supporting physical, mental, and financial wellbeing.

• Tuition reimbursement opportunities.

• Support for industry-related certifications.

• Access to professional training.

• A dynamic, ambitious, and enjoyable work atmosphere.

• Matching donation initiatives.

• Opportunities for volunteering.

• A corporate giving program driven by employees.