Senior AI Engineer: Production AI & RAG Pipelines

Berkley Technology Services LLC; Los Angeles (CA); On-site; USD 146,000 - 271,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

Wellness program

401(k) with Profit Sharing

Job summary

Berkley Technology Services (BTS) is seeking an experienced Senior AI Engineer to build and operate AI-enabled features and services. You will craft production Python services and microservices, implement retrieval-augmented generation, and develop agentic workflows in a fast-paced, collaborative environment.

The role emphasizes end-to-end AI integration, responsible AI, and scalable deployments with CI/CD, monitoring, and security controls. Travel is 5-10% as needed.

Qualifications

• 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.

Responsibilities

• Build Python services and microservices 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 evaluations.
• Integrate AI into web applications (REST/GraphQL) with input/output validation and rate limiting.

Skills

Python

AI/LLM engineering

Cloud platforms

CI/CD

Communication

Education

Bachelor's degree

Tools

Azure AI Foundry

GCP Vertex

AWS Bedrock

Vector databases

Job description

Berkley Technology Services (BTS) is seeking an experienced Senior AI Engineer to build and operate AI-enabled features and services. You will craft production Python services and microservices, implement retrieval-augmented generation, and develop agentic workflows in a fast-paced, collaborative environment.

The role emphasizes end-to-end AI integration, responsible AI, and scalable deployments with CI/CD, monitoring, and security controls. Travel is 5-10% as needed.