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Founding Software Engineer ($150k-$250k + Equity) at high-growth applied AI startup
Job in
Palo Alto, Santa Clara County, California, 94306, USA
Listed on 2026-08-05
Listing for:
Jack & Jill
Full Time
position Listed on 2026-08-05
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Backend Developer, Software Architect, Cloud Engineer - Software
Job Description & How to Apply Below
Job Title
Founding Software Engineer
Salary$150k-$250k + Equity
Company DescriptionHigh-growth applied AI startup
Job DescriptionAs a Founding Software Engineer, you will design and build the core technical architecture for a new AI-native platform. You'll lead development across backend services, agentic workflows, and hardware integration, moving from ambiguous prototypes to reliable production systems. This is a ground-floor opportunity to shape both a physical-world product and a high-performance engineering culture.
LocationPalo Alto, USA
Why this role is remarkable- Work at the frontier of applied AI, building products that interact with the physical world through connected devices and intelligent reasoning.
- Gain massive ownership as a founding team member, influencing every major technical decision and the long-term product roadmap from day one.
- Benefit from a well-capitalized environment led by serial founders with deep expertise in robotics, AI, and complex systems development.
- Architect and implement core backend services, APIs, and data pipelines to support a complex, real-world AI platform.
- Integrate advanced AI models and agentic workflows that reason over context and maintain state across different environments.
- Collaborate with founders to translate customer needs into technical solutions while establishing best practices for observability and deployment.
- Possesses exceptional software engineering fundamentals and a track record of shipping complex, high-reliability production systems at scale.
- Demonstrates deep experience with modern programming languages like Python or Type Script and familiarity with LLM infrastructure or retrieval systems.
- Thrives in fast-paced, ambiguous startup environments where they can take full ownership of loosely defined problems and technical challenges.
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