Software Engineer - AI Engineering

Applied Intuition Applied Intuition · Robotics · Sunnyvale, CA · Infrastructure & Platform

AI Engineer role focused on building shared AI infrastructure, agent frameworks, and tooling for internal and external products. The role involves designing, shipping, and serving agentic systems, acting as a GenAI/LLM expert, and working directly with customers. It's a 0-to-1 opportunity with potential for significant impact and scaling.

What you'd actually do

  1. Design and ship the shared AI infrastructure, frameworks, and tooling that power AI capabilities across Applied’s products and toolings.
  2. Partner with product teams to identify the highest-leverage AI use cases and take them from idea to production.
  3. Serve as a GenAI/LLM expert across the company – owning best practices for architecture, safety, evaluation, and deployment.
  4. Design, build, and ship agentic systems such as background coding agents, AI SRE tooling
  5. Work directly with customers to understand their needs, demo capabilities, and shape the product roadmap. Both external customers and internal teams are your customers.

Skills

Required

  • Bachelor's degree in Computer Science, Software Engineering, or equivalent
  • 2+ years of experience building and deploying AI/ML-powered features & products
  • Hands-on proficiency working with LLMs and agentic architectures.
  • Strong software engineering fundamentals and a bias toward shipping production-quality code quickly
  • Comfort working across the stack, from backend infrastructure to APIs to frontend work.
  • A collaborative mindset and genuine enjoyment of customer interaction – both with external customers and internal teams who depend on your work.
  • Proven ability to take initiative and context-switch across multiple high-priority projects in a fast-paced environment

Nice to have

  • Practical ML literacy – you understand model evaluation, data pipelines, and the tradeoffs between approaches
  • Background in developer tooling, platform engineering, or internal productivity infrastructure
  • Experience working with autonomous vehicle systems or simulation software

What the JD emphasized

  • 2+ years of experience building and deploying AI/ML-powered features & products
  • Hands-on proficiency working with LLMs and agentic architectures.

Other signals

  • building AI capabilities
  • agent frameworks
  • app platform
  • 0 to 1 role
  • ship fast
  • production-quality code