Senior AI Engineer — Build Production AI & RAG Pipelines

Berkley Technology Services; Wilmington (DE); On-site; USD 150,000 - 210,000; Full time

Job summary

Berkley Technology Services (BTS) is seeking a Sr. AI Engineer to build, test, and operate AI-enabled features and services. You will deliver production code, implement RAG pipelines, and integrate AI into web apps with robust reliability, security, and cost controls.

The role focuses on creating agentic workflows, ensuring observability, and applying Responsible AI practices in a modern cloud environment, collaborating with analysts, QA, and product owners in an agile setting.

Qualifications

• 5+ years of professional software engineering experience.
• 3+ years hands-on 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.

Responsibilities

• 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

Skills

Python

CI/CD

AI/LLM

LangGraph

n8n

Agent Development Kit

Cursor

Claudecode

GitHub Copilot

Datadog

Neo4j

Education

Bachelor's degree

Tools

LangGraph

n8n

Agent Development Kit

Cursor

Claudecode

GitHub Copilot

Neo4j

Job description

Berkley Technology Services (BTS) is seeking a Sr. AI Engineer to build, test, and operate AI-enabled features and services. You will deliver production code, implement RAG pipelines, and integrate AI into web apps with robust reliability, security, and cost controls.

The role focuses on creating agentic workflows, ensuring observability, and applying Responsible AI practices in a modern cloud environment, collaborating with analysts, QA, and product owners in an agile setting.