Junior delivers industry-leading transcription and dynamic knowledge graphs for investors, advisors, and consultants. SOC 2 Type II certified, built for compliance, and trusted by top firms to save time, surface insights, and power billion-dollar deals. Backed by South Park Commons.
About the role
Building AI-powered features using LLMs to process and structure unstructured research data Contributing to our Next.js / TypeScript frontend for client-facing products
What they're looking for
- Currently pursuing a degree in Computer Science, Software Engineering, or a related field
- Comfortable working in TypeScript / JavaScript — Next.js experience is a plus
- Curious about AI and LLM-powered products
- Strong communicator who can work closely with a small, fast-moving team
- Previous internship or co-op experience is a bonus, not a requirement
More about this role
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 ~28 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. Junior saves clients an average of 10 hours per week, and we're expanding fast into new verticals including investment banking, hedge funds, and research firms.
As a Fall Engineering Intern , you'll be embedded directly in our engineering team and own a meaningful project end-to-end. You'll ship real code, collaborate with full-time engineers, and present your work to the team at the end of the summer. This is not a passive learning experience — we expect you to contribute from day one.
Building AI-powered features using LLMs to process and structure unstructured research data
Contributing to our Next.js / TypeScript frontend for client-facing products
Working on data...
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