Founding Software Engineer

recruyt; Palo Alto (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

recruyt is seeking an Applied AI Engineer to develop production-grade AI systems that enhance real-time decision-making in factory settings. Ideal candidates will have robust backend engineering skills and experience in AI/ML systems.

You will work on various tasks, including developing retrieval systems and backend APIs while ensuring reliability and observability. A strong understanding of TypeScript and cloud infrastructure is essential.

Experience with modern JS frameworks is a plus.

Qualifications

• Strong backend engineering fundamentals.
• Experience building and shipping AI/ML systems.
• Fluency in TypeScript, data systems, and cloud infrastructure.

Responsibilities

• Build production-grade AI systems for factory environments.
• Develop retrieval and reasoning systems.
• Implement evaluation and feedback loops.
• Work on backend APIs and cloud infrastructure.
• Focus on reliability, diagnostics, and observability.

Skills

Backend engineering fundamentals

Building AI/ML systems

Fluency in TypeScript

Data systems

Cloud infrastructure

Ownership mindset

Tools

Modern JS frameworks

Job description

Manufacturing is one of the world’s largest industries, yet much of it still runs on workflows that software and AI haven’t fully captured.

Our client is building AI systems that learn directly from factory environments to improve real‑time decision‑making on the production floor — helping manufacturers increase uptime, quality, and efficiency.

Backed by experienced founders and top‑tier investors, they’re now hiring a Applied AI Engineer to build production‑grade AI systems that operate in messy, real‑world environments.

You’ll work on:

• Retrieval and reasoning systems
• Evaluation and feedback loops
• Backend APIs and cloud infrastructure
• Reliability, diagnostics, and observability

What they’re looking for:

• Strong backend engineering fundamentals
• Experience building and shipping AI/ML systems
• Fluency in TypeScript, data systems, and cloud infrastructure
• Ownership mindset and ability to move quickly in ambiguity

Bonus

• Frontend experience with modern JS frameworks