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AI Agent Engineer

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General Motors

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Location:
United States , Austin ▼

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

We are seeking an AI Agent Engineer to design, build, and operationalize AI-powered agents that enhance employee productivity and decision-making in a complex enterprise environment. The ideal candidate combines strong AI/ML foundations, hands-on experience with agent frameworks, and a pragmatic approach to delivering business value in partnership with cross-functional teams. Experience with Glean (or similar enterprise AI search/assistant platforms) is a strong plus.

Job Responsibility:

  • Design and develop AI agents
  • Engineer and implement AI agents and workflows that automate and augment knowledge work
  • Translate business requirements into robust agent designs, including tool orchestration, routing logic, and guardrails
  • Prototype quickly, then harden solutions for reliability, scalability, and maintainability
  • Leverage LLMs and related AI services (e.g., retrieval-augmented generation, embeddings, vector search) to power agent capabilities
  • Integrate agents with enterprise systems, APIs, and data sources (e.g., collaboration tools, knowledge repositories, ticketing systems)
  • Partner with platform teams (e.g., Glean, M365, internal APIs) to ensure secure and compliant integrations
  • Define and implement monitoring, logging, and feedback loops to continuously improve agent performance
  • Establish and maintain evaluation frameworks, metrics, and test harnesses for AI agent behavior and output quality
  • Document agent architectures, decision logic, and dependencies for support and future enhancements
  • Collaborate closely with engineers, architects, data teams, and business SMEs in a highly matrixed, global environment
  • Contribute to shared patterns, reusable components, and best practices for AI agent development
  • Champion responsible AI, including security, privacy, compliance, and user trust considerations

Requirements:

  • Bachelor degree in Computer Science, Engineering, Data Science, or related field
  • or equivalent practical experience
  • 3 to 7+ years of professional software engineering or AI/ML engineering experience in complex, enterprise environments
  • Strong proficiency in at least one modern programming language (e.g., Python, TypeScript/JavaScript, Java)
  • Hands-on experience with LLM-based applications, AI frameworks, or agent tooling (e.g., LangChain, Semantic Kernel, custom orchestration frameworks)
  • Solid understanding of Prompt engineering and retrieval-augmented generation (RAG), RESTful APIs and integration patterns, and Data structures, algorithms, and basic ML/LLM concepts
  • Experience building production services (microservices or serverless) with appropriate observability and testing

Nice to have:

  • Experience with Glean or similar enterprise AI search/assistant platforms
  • Experience with Microsoft 365 and AI assistants (e.g., Copilot) or other enterprise collaboration ecosystems
  • Familiarity with Enterprise identity and access management concepts (e.g., RBAC, least privilege), Observability and telemetry for AI systems (e.g., logging, tracing, quality dashboards), and experimentation and A/B testing for AI features
  • Background in user-centric design or close collaboration with UX teams for AI experiences

Additional Information:

Job Posted:
May 14, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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