Applied Intuition
Software Engineer - AI Engineering
$126K–$250K
Sunnyvale · On-site · Full-time · Posted Mar 25, 2026
- Experience
- 2+ years building and deploying AI/ML-powered features and products.
- Education
- Bachelor's degree in Computer Science, Software Engineering, or equivalent.
About the job
Build AI infrastructure, agent frameworks, and product capabilities, taking AI use cases from concept to production and working with customers and internal teams.
What you'll do
- Design and ship shared AI infrastructure, frameworks, and tooling across products.
- Partner with product teams to develop AI use cases and own GenAI/LLM architecture, safety, evaluation, and deployment practices.
- Build agentic systems and work with customers to understand needs, demonstrate capabilities, and shape the roadmap.
What they ask for
- Bachelor's degree in Computer Science, Software Engineering, or equivalent.
- 2+ years of experience building and deploying AI/ML-powered features and products.
- Hands-on proficiency with LLMs and agentic architectures.
- Strong software engineering fundamentals and ability to work across backend infrastructure, APIs, and frontend.
Nice to have
- Practical ML literacy, including model evaluation, data pipelines, and approach tradeoffs.
- Background in developer tooling, platform engineering, internal productivity infrastructure, autonomous vehicle systems, or simulation software.
Pay
$126K – $250K (base salary)
Tools
LLMs
AI focus
Build shared AI infrastructure and agent frameworks, including agentic systems such as background coding agents and AI SRE tooling; apply GenAI/LLMs across products and workflows.
Model-written summary · the original posting is authoritative