Jobs · Engineering · New York

Full Stack Engineer

Junior · New York, NY · 3 wk ago
On-siteEngineeringFull-time

About Junior

We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices: organisations responsible for deploying billions of dollars annually.

We're a profitable, bootstrapped company with a growing team of ~43 people based in London and New York. We 10x'd our revenue in 2025 and are on track to grow 2-3x again this year.

Role Description

As one of our first engineering hires, you'll have the unique opportunity to:

  • Ship quickly
  • Design and build new modes of working with computers
  • Work on groundbreaking projects involving LLMs
  • Collaborate closely with our external partners to fuel our growth
  • Contribute to product decisions, direction and prioritization
  • Shape our engineering culture

Sample set of projects

  • Build new frontier products at Junior to ingest more types of research inputs
  • Build a voice-to-voice survey tool with extremely low latency that can autonomously conduct high volume of research tasks
  • Create a mobile app from scratch in 3 weeks
  • Build segmented knowledge graphs built on top of the output of unstructured ⇒ structured data transformations
  • Create an AI native CRM system with deep links to the knowledge graph above

About You

  • Are based in NYC and excited to work in person with the team
  • Love shipping quickly and taking ownership end-to-end
  • Eager to contribute to product decisions, not just execute tickets
  • Have strong communication skills and enjoy working close to customers
  • Are proficient in our tech stack: Next.js, TypeScript, and PostgreSQL
  • Are excited about building AI-powered products from the ground up
  • Feel like they are never building fast enough

Bonus Points For Experience

  • With LLM-powered products
  • Retrieval, embeddings, or prompt orchestration
  • Knowledge graphs or structured data extraction
  • Fast-moving startup environments

Benefits

  • All the usual benefits (competitive pay and equity, private healthcare etc.)
  • Unusual benefits: Gym membership, In-office cook, Summers working in Greece by the beach

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