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Artificial Intelligence Engineer

Robert Half

Location

Raleigh, NC

Salary

Not specified

Type

fulltime

Posted

Today

via linkedin

Job Description

Software Engineer – AI‑Driven Internal Tools

We are looking for a Software Engineer who is excited about AI‑first development and passionate about building internal tools that supercharge engineering and business productivity. In this role, you’ll work across global teams, leverage cutting‑edge agentic development tools, and help influence how AI is adopted at scale within engineering workflows.

Required Experience (Must‑Haves)

  • 2–5 years

of professional software development experience.

  • Full‑stack engineering background

, including:

  • Experience with at least one

client‑side framework

(Angular preferred, but others welcome)

  • Experience with at least one

server‑side language

(.NET/C# preferred, but not required)

  • Strong experience with AI‑assisted development tools

, including but not limited to:

  • GitHub Copilot
  • Claude / Claude Code
  • Codex
  • Gemini or similar AI coding assistants
  • Experience can be from corporate, personal, experimental, or non‑professional projects.
  • Ability to clearly explain:
  • How you’ve incorporated AI tools into real development workflows
  • The differences, strengths, and weaknesses among various AI/agentic tooling
  • When AI speeds development versus when manual coding is still the right approach

Preferred / Nice to Have

  • Hands‑on

.NET

and

Angular

experience

  • Background building internal tools, platforms, or developer‑enablement solutions
  • Experience working in

distributed/global engineering teams

  • Familiarity with modern DevOps or

GitHub‑based CI/CD

workflows

What Makes This Role Different

  • You’ll be working in an

AI‑first engineering environment

, where agentic development is a central part of how you build—this isn’t traditional software engineering.

  • The focus is less on greenfield customer applications and more on

internal enablement, automation, and efficiency

.

  • You’ll help influence and shape how AI tools are adopted across engineering teams at scale.
  • You’ll operate in a fast‑moving, execution‑focused environment with strong support from leadership and business partners.

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