> Markdown version of [/jobs/ext/1974557-ai-engineers](https://www.wearedevelopers.com/jobs/ext/1974557-ai-engineers). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineers - **Company:** W. R. Berkley Corporation - **Location:** Wilmington, DE, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Cursor (Graphical User Interface Elements), DevOps, Programming Tools, Fault Tolerance, Graph Database, Python (Programming Language), Search Algorithms, Neo4j, Parsing, Search Technologies, Software Engineering, Web Applications, Datadog, GitHub Copilot, Large Language Models, Multi-Agent Systems, Indexer, Rate Limiting, AI Platforms, Code Inspection, Graphql, Virtual Agents, Microservices - **Published:** August 7, 2026 - **Apply:** https://careers-berkley.icims.com/jobs/13880/sr.-ai-engineer/job?in_iframe=1 ## About the Role * 5+ years of professional software engineering experience. * 3+ years of hands-on applied AI/LLM engineering delivering agentic AI production systems. * Proficiency in Python and modern engineering practices (testing, linting, typing, packaging, CI). * Experience with Cloud AI platforms like Azure AI Foundry, GCP Vertex and AWS Bedrock. * Hands-on experience with vector databases and search algorithms. * Solid experience with containers and CI/CD; practical AI observability (logs/metrics/traces) and production support mindset. * Developed multi-agent systems using MCP and A2A technologies. * Hands on experience with Agentic AI development tools like Cursor, Claudecode and Github copilot. * Clear, concise communicator able to collaborate with analysts, QA, architects, and business stakeholders. * Experience with AI Observability in platforms like Datadog and Langsmith. * Bachelor's degree with emphasis in related field or equivalent experience. Qualifications that are not required but are a plus * Familiarity with knowledge graphs (e.g., Neo4j) and graph queries (e.g., Cypher) * Experience leveraging and training NLP models * Experience fine-tuning LLMs and VLMs * Experience with LLM evaluation frameworks like DeepEval and RAGAs ## Description The Sr. AI Engineer is focused on building, testing, and operating AI-enabled features and services. Senior AI Engineers deliver production code: implementing services and agentic workflows, wiring up retrieval-augmented generation (RAG) pipelines, integrating with web applications, and instrumenting systems for reliability, security, and cost. * Build Python services and microservices (APIs, workers) that expose AI capabilities; write clean, tested, maintainable code. * Implement end-to-end RAG pipelines: connectors, parsing, chunking, embeddings, indexing, and retrieval using Azure AI Search and/or Pinecone. * Create and operate agentic workflows with LangGraph, n8n, or Agent Development Kit; iterate on prompts/flows and automate offline/online evaluations * Integrate AI into web applications (REST/GraphQL, events) with attention to input/output validation, rate limiting, and graceful degradation. * Own CI/CD and containerization for your services; add telemetry (logs/metrics/traces), dashboards, and alerts; participate in on-call/incident response * Apply Responsible AI, data protection, and access controls; contribute guardrails (filters, red-teaming, PII handling) in code. * Collaborate with analysts, QA, and product owners to refine requirements; demo increments and incorporate feedback in an agile cadence ## Related Videos - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [GraphQL + Apollo + Next.js: A Lovely Trio](https://www.wearedevelopers.com/videos/311-graphql-apollo-next-js-a-lovely-trio) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Beyond Chatbots: How to build Agentic AI systems](https://www.wearedevelopers.com/videos/1629-beyond-chatbots-how-to-build-agentic-ai-systems) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)