Senior AI Agent Engineer (Enterprise LLMs)

Aimlroles; Kentucky; Hybrid; USD 120,000 - 180,000; Full time

Job summary

General Motors seeks an AI Agent Engineer to design, build, and operationalize AI-powered agents that enhance productivity and decision-making in a complex enterprise environment.

You will leverage LLMs, embedding, and retrieval techniques, and integrate agents with enterprise systems and data sources while partnering with platform teams to ensure secure integrations. The role emphasizes monitoring, testing, and responsible AI practices in a hybrid setting.

Qualifications

• Bachelor's degree or equivalent practical experience in a related field.
• 3-7+ years of software engineering or AI/ML engineering in enterprise environments.
• Strong programming skills in Python, TypeScript/JavaScript, or Java.
• Hands-on with LLM-based applications, AI frameworks, or agent tooling.
• Experience building production services with observability and testing.

Responsibilities

• Design and develop AI agents and workflows to automate knowledge work.
• Integrate agents with enterprise systems and data sources.
• Define monitoring, logging, and evaluation frameworks for agent performance.
• Collaborate with engineers, data teams, and business SMEs in a matrix environment.
• Champion responsible AI including security, privacy, and compliance.

Skills

Python

TypeScript/JavaScript

Java

LLM-based applications

LangChain

Semantic Kernel

RESTful APIs

Data structures & algorithms

Observability & testing

Microservices/serverless

Education

Bachelor's degree in CS/Engineering/Data Science or related field

Tools

LangChain

Semantic Kernel

Custom orchestration frameworks

Job description

General Motors seeks an AI Agent Engineer to design, build, and operationalize AI-powered agents that enhance productivity and decision-making in a complex enterprise environment.

You will leverage LLMs, embedding, and retrieval techniques, and integrate agents with enterprise systems and data sources while partnering with platform teams to ensure secure integrations. The role emphasizes monitoring, testing, and responsible AI practices in a hybrid setting.