Software Engineer - AI Engineering
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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