Software Engineer - AI Engineering

Applied Intuition•Sunnyvale, CA

6d•Onsite

About The Position

We are looking for an AI engineer to join a small, high-impact team building the AI capabilities, agent frameworks, and app platform that power every Applied product and the workflows our own engineers rely on daily. This is a 0 to 1 role with real customer demand already behind it and the potential to scale into a major new business line. You’ll operate like a startup within a larger, well-resourced company – with the freedom to experiment, ship fast, and work directly with customers. At Applied Intuition, you will: 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.

Requirements

A Bachelor's degree in Computer Science, Software Engineering, or equivalent
3+ 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 Haves

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

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.