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Software Engineer - AI Engineering

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Sunnyvale, CA$126k - $250kfull-timePosted 7mo ago

About the role

AI-focused software engineer role at Applied Intuition, building AI infrastructure, agent frameworks, and an app platform to power products and internal workflows. 0 to 1 development with customer-driven impact, operating like a startup within a larger company.

Responsibilities

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

Qualifications

  • A 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

Skills

Required:AI/ML feature development
Last updated May 26, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development

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