Founding AI Engineer at David Joseph & Company in San Francisco, California, United States

Job description

• This is a founding engineering seat on a team of four. You would work directly with the founders across the entire product, from the distributed infrastructure underneath it to the agents themselves to the features customers touch. The team is in the office together five days a week, jams on problems in person, and leans hard on AI across its own internal work.
• A genuine founding-engineer seat: you shape the product and the engineering culture, not just the tickets
• Seed funding from one of the most respected venture firms in the market, with founders out of frontier AI research and high-growth enterprise software
• A very large and largely untouched market, with signed customers and adoption already running ahead of expectations
• Agentic systems at the core of the product rather than AI added on top of something that already existed
• $175K to $220K base plus competitive early-stage equity

Responsibilities

• Building and improving AI agents that investigate and resolve IT support tickets across live customer environments
• Scaling infrastructure and distributed systems to keep pace with customer growth and reliability demands
• Shipping across a wide surface area, frontend through backend through integrations, driven by direct customer feedback
• Working alongside the founders day to day on a roadmap that moves quickly
• Optionally sitting with customers to understand their problems and shape where the product goes

Requirements

• Two to five years building software across the full stack
• A track record of shipping production systems and then living with them, at a scale of roughly fifty customers or more
• Practical command of LLM APIs, prompt engineering, and agent architectures
• A founding-engineer disposition: side projects you actually ship, and readiness for the pace and commitment an early team demands
• Clear communication, the ability to make a complicated problem simple, and decisiveness about what matters first
• AI agents or tool-using LLM systems you have run in production, not just prototyped
• Time at an early-stage startup, somewhere between seed and Series C
• Exposure to enterprise IT, security, or identity management
• A bachelor's degree in computer science or a comparable technical field
• Depth in distributed systems and backend infrastructure
• Comfort owning front-end product work as well as the layers beneath it

Skills

Required

• Full-stack software development
• LLM APIs
• Prompt engineering
• Agent architectures
• Production systems
• Clear communication
• Decisiveness

Preferred

• AI agents in production
• Tool-using LLM systems
• Early-stage startup experience
• Enterprise IT
• Security
• Identity management
• Distributed systems
• Backend infrastructure