Job Details

Founding Software Engineer | AI for Supply Chain Automation

Location: San Francisco, CA (On-site)
Salary: $170K - $225K base + Equity

What's In It For You

• Be the founding engineer shaping a next‑AI platform from the ground up.
• Work side‑by‑side with a deeply technical founding team with roots in AI and global operations.
• Help modernize a $10T+ industry that impacts how the world eats, moves, and lives.
• Build something meaningful that merges cutting‑edge technology with real‑world impact.

What You'll Do

You'll help shape the foundation of both the product and the company. You'll build, iterate, and deploy AI‑driven systems that help real businesses run smarter and faster. One week, you might be refining LLM orchestration; the next, you're onsite with a customer helping automate a process that hasn't changed in decades.

• Design, develop, and deploy autonomous AI agents for complex supply chain workflows.
• Architect scalable backend systems and real‑time interfaces for customers.
• Work directly with founders to shape product strategy and define technical direction.
• Partner with customers to understand real‑world problems and translate them into automation opportunities.
• Help establish engineering best practices and the foundation for future technical hires.

What You Bring

• BSCS or equivalent technical degree
• Experience using React, Next.js, and real‑time systems (e.g. WebSockets)
• 3‑5+ years of hands‑on experience with Python and modern data/AI libraries (NumPy, Scikit‑learn, Pandas, etc.)
• Solid understanding of databases (SQL and NoSQL) and scalable cloud infrastructure (AWS, GCP, or Azure)
• Proven experience building or integrating AI agents, LLM orchestration, or workflow automation systems

Nice to Have

• Background in ML/AI model optimization or orchestration (LangChain, LlamaIndex, etc.)
• Experience scaling production‑grade ML systems
• Startup experience or a desire to build something from zero to one

If you're excited about building at the intersection of AI and the physical world, and want to help define the next intelligent enterprise system, we'd love to meet you.