Lead Applied AI Engineer

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 ~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.

Role Description

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

• Work on groundbreaking projects involving a mix of LLMs and traditional MLCome up with novel research synthesis ideas using NLP techniques and prove their business valueCollaborate closely with our external partners to fuel our growthContribute to product decisions, direction and prioritizationShape our engineering culture

Sample set of projects

• Build a search ranking algorithm across open text, integrating signals from user interactions (e.g., edits, copies, and engagement metrics) alongside semantic and PostgreSQL-based text search to improve relevance and ranking across multiple features.
• Build and open source a benchmark for evaluating LLM output on investment research specific tasks.
• Build an agentic entity deduping system that uses signals from within the app and valuable external data sources / google to clean up the last mile of great STT output: entity resolution.
• Build a knowledge graph custom to every research sprint that begins as highly unstructured interview data and leverages agentic infrastructure to pull in data where necessary and constantly rebalance the graph and the derived output.

About You

We're looking for product-minded ML engineers who:

• Based in NYCAre opinionated about their work and eager to contribute to product decisionsHave strong communication skills and a desire for a client-facing roleAre able to break down AI/ML problems for a non-technical audience clearly and succinctly, and translate their suggestions into testable experiments.
• Have experience building LLM systems from the ground up in a product-focused organization, and can help drive everything from data gathering / logging → prompt optimizingHave a strong bias to action, highly organized and experienced working with senior stakeholders to deliver large projects end to end

Benefits

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

How To Apply

If you're excited about the opportunity to drive innovation at Junior, we'd love to hear from you! We can't wait to meet you!