AI Software Engineer – Agentic AI System

Intel Intel · Semiconductors · California, Santa Clara, United States +2

AI Software Engineer focused on building infrastructure and tooling for an end-to-end evaluation ecosystem for agentic AI frameworks. Responsibilities include developing scalable deployment and orchestration systems, data pipelines, dashboards, observability tooling, and automating evaluation pipelines for AI agent frameworks and model-serving systems.

What you'd actually do

  1. Build and maintain scalable deployment and orchestration systems for AI workloads
  2. Develop data pipelines, dashboards, and observability tooling
  3. Integrate and evaluate AI agent frameworks and model‑serving systems
  4. Design and automate evaluation pipelines for performance, reliability, and regression detection
  5. Collaborate with global engineering teams to improve AI evaluation tooling

Skills

Required

  • Python/C++/TypeScript/RUST/Go
  • Docker
  • Linux
  • command-line tooling
  • REST APIs
  • HTTP-based integrations
  • SQL
  • AI agents
  • LLMs
  • modern AI infrastructure

Nice to have

  • CI/CD systems
  • SSH
  • remote deployments
  • multi-host orchestration
  • data visualization tools
  • model serving tools
  • prompt engineering
  • LLM API integrations
  • messaging platform APIs
  • infrastructure-as-code
  • configuration management
  • performance profiling
  • open-source agent frameworks

What the JD emphasized

  • agentic AI frameworks
  • evaluation ecosystem
  • AI agents
  • LLMs
  • modern AI infrastructure

Other signals

  • AI agents
  • evaluation ecosystem
  • orchestration systems
  • data pipelines
  • observability tooling