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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
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
Salary/Wage Range or Industry Benchmark: 150000 - 250000 USD Yearly USD 150000.00 250000.00 YEAR
Job Description & How to Apply Below

Job Title

Founding Software Engineer

Salary

$150k-$250k + Equity

Company Description

High-growth applied AI startup

Job Description

As 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.

Location

Palo 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.
What You Will Do
  • 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.
The ideal candidate
  • 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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