Full Stack Software Engineer

WISE EXPERIENCE LLC
New York, United States of America
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 250K

Job location

New York, United States of America

Tech stack

Python
Software Deployment
TypeScript
React
Data Pipelines

Job description

  • 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'll also have real input into how the product evolves, working closely with design and product to understand how customers use what you build.

This is greenfield work. The decisions you make now will compound over time.

Requirements

They're looking for engineers who care about how things are built, not just that they work.

  • 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.

About the company

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.

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