Full Stack Software Engineer
$250ktechire ai
Job Description
Want to build the systems that make AI actually useful inside real companies? This Series A startup is tackling one of the hardest problems in enterprise AI. Models are generic. Company processes aren't. They're building AI agents that learn how work actually happens, then run those operations end-to-end. Backed by top-tier investors, they've built a deeply technical team across engineering, AI research, and strategy. The focus is simple. Build things properly, with people who care about the craft. You'll join as an early full stack engineer , shaping both the product and the foundations it's built on. The work sits around the models, not inside them. You'll build the platform, workflows, and interfaces that make AI usable in real-world environments. That means designing systems that are reliable, observable, and genuinely pleasant to work with, both for users and other engineers. There's no separation between building and shipping here. You'll take ideas from whiteboard to production, owning the outcome end to end. The bar is high, but so is the autonomy. You'll spend time designing clean API contracts, modelling data properly, and building frontends that don't fight you six months later. Velocity matters, but not at the expense of quality. Your focus will include:
Experience-wise, around 3+ years is a useful guide, but what matters more is how you think and build. You'll join a small, high-calibre team where you can influence tooling, patterns, and technical direction from day one. Compensation: Up to $250,000 base + equity
Location: New York (in-person) If building foundational systems properly, with real ownership, sounds like your kind of environment, it's worth a conversation.
Want to build the systems that make AI actually useful inside real companies? This Series A startup is tackling one of the hardest problems in enterprise AI. Models are generic. Company processes aren't. They're building AI agents that learn how work actually happens, then run those operations end-to-end. Backed by top-tier investors, they've built a deeply technical team across engineering, AI research, and strategy. The focus is simple. Build things properly, with people who care about the craft. You'll join as an early full stack engineer , shaping both the product and the foundations it's built on. The work sits around the models, not inside them. You'll build the platform, workflows, and interfaces that make AI usable in real-world environments. That means designing systems that are reliable, observable, and genuinely pleasant to work with, both for users and other engineers. There's no separation between building and shipping here. You'll take ideas from whiteboard to production, owning the outcome end to end. The bar is high, but so is the autonomy. You'll spend time designing clean API contracts, modelling data properly, and building frontends that don't fight you six months later. Velocity matters, but not at the expense of quality. Your focus will include:
- Designing and building backend systems in Python using FastAPI , from API design through to database schema and infrastructure
- Creating high-quality frontend experiences in TypeScript and React , with strong typing and clean component architecture
- Building shared libraries, internal tooling, and component systems that improve how the whole team ships
- Owning problems end to end , from shaping ambiguous requirements through to production deployment
- Developing integrations, connectors, and data pipelines that tie the platform into external systems
- You enjoy writing Python and TypeScript to a high standard, with strong typing and clear structure
- You think carefully about data models and take pride in getting schema design right
- You've built libraries, SDKs , or internal tooling that improved developer experience
- You're comfortable owning problems end to end, even with ambiguity
- You have good product instinct and care about how things feel to use
Experience-wise, around 3+ years is a useful guide, but what matters more is how you think and build. You'll join a small, high-calibre team where you can influence tooling, patterns, and technical direction from day one. Compensation: Up to $250,000 base + equity
Location: New York (in-person) If building foundational systems properly, with real ownership, sounds like your kind of environment, it's worth a conversation.
Vacancy posted 4 days ago
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