Puntt AI
SF Hybrid (M/W/F in our new office) - no visa sposorship. | Founding Forward Deployed Engineers
hn · SF Hybrid (M/W/F in our new office) - no visa sposorship. · $180,000 - $220,000
Jose is an exceptional match as a Founding Forward Deployed Engineer with proven 0→1 product-building experience at Addie, where he architected complex AI systems for real-world users across multiple channels. His deep expertise in LLM agents, production reliability, and cost optimization directly addresses Puntt AI's core challenge of building AI systems that fail almost never, while his experience owning build-vs-buy decisions and setting reliability targets demonstrates the obsessive attention to evaluation and orchestration the role requires. His full-stack capabilities and experience scaling systems under real customer constraints make him ideal for this forward-deployed position.
Hook: You've built real-time AI voice systems at scale with sub-200ms latency and 99.9% reliability—Puntt AI needs that same obsession with production reliability for automating packaging asset reviews that can't afford to be wrong.
Missing: Packaging/retail domain knowledge, Computer vision (if needed for asset review), Enterprise sales/customer negotiation experience
Posting
Puntt AI | SF Hybrid (M/W/F in our new office) - no visa sposorship. | Founding Forward Deployed Engineers | Founding Applied AI Engineers | Salary: $180,000 - $220,000 USD + equity, benefits and unlimited PTO Our customers (real customers you've heard of) have thousands of packaging assets spread across dozens of markets, languages, regulations, and brand standards. Every change needs to be reviewed before launch. Humans currently do most of that work. We are automating it. The challenge isn't generating text. The challenge is building systems that can be wrong almost never. We're looking for: - Forward Deployed Engineers who enjoy sitting with customers, figuring out what's actually broken, and building solutions faster than a roadmap ever could. - Applied AI Engineers who obsess over retrieval, evaluation, orchestration, reliability, and all the ways AI systems fail in production. - Account Executives Please reach out directly if interested: linkedin.com/in/christinakayler