5 months ago
Wilmington, DE, USASenior

Responsibilities

  • Build tested, maintainable Python APIs, workers, microservices, and other production AI services.
  • Implement RAG pipelines covering connectors, parsing, chunking, embeddings, indexing, and retrieval with Azure AI Search and/or Pinecone.
  • Create and operate agentic workflows, iterate on prompts and flows, and automate offline and online evaluations.
  • Integrate AI capabilities into web applications using REST, GraphQL, and events with validation, rate limiting, and graceful degradation.
  • Own CI/CD and containerization, and implement logs, metrics, traces, dashboards, alerts, and production support processes.
  • Apply Responsible AI, data protection, access controls, guardrails, red-teaming, and PII handling in code.
  • Collaborate with analysts, QA, architects, product owners, and business stakeholders to refine requirements, demonstrate work, and incorporate feedback.

Requirements

  • 5+ years of professional software engineering experience.
  • 3+ years of hands-on applied AI/LLM engineering experience delivering agentic AI production systems.
  • Proficiency in Python and modern engineering practices including testing, linting, typing, packaging, and CI.
  • Experience with Azure AI Foundry, GCP Vertex, and AWS Bedrock.
  • Hands-on experience with vector databases and search algorithms.
  • Experience with containers, CI/CD, AI observability, logs, metrics, traces, and production support.
  • Experience developing multi-agent systems using MCP and A2A technologies.
  • Hands-on experience with Cursor, Claudecode, and GitHub Copilot for agentic AI development.
  • Experience with AI observability platforms such as Datadog and Langsmith.
  • Bachelor’s degree with an emphasis in a related field or equivalent experience.
  • Strong communication and collaboration skills with analysts, QA, architects, and business stakeholders.
  • Preferred experience includes Neo4j and Cypher, training or leveraging NLP models, fine-tuning LLMs and VLMs, and LLM evaluation frameworks such as DeepEval and RAGAs.

Tech Stack

DatadogGraphQLNeo4jPython

Categories

W. R. Berkley Corporation

About W. R. Berkley Corporation

1,001-5,000 employees

W. R. Berkley Corporation is a public insurance holding company that sells commercial property‑casualty coverage and insurance‑related services to businesses. Its operating units focus on primary insurance, reinsurance, and monoline excess products tailored to industry niches and regional markets. Founded in 1967 and headquartered in Greenwich, Connecticut, the company trades on the NYSE (WRB) and operates worldwide; subsidiaries include Berkley Technology Services, which supports core systems for its insurance businesses.

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