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. 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. 💡 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 ML - Come up with novel research synthesis ideas using NLP techniques and prove their business value - Collaborate closely with our external partners to fuel our growth - Contribute to product decisions, direction and prioritization - Shape our engineering culture We’re live with >20 enterprise clients, and already have 10s of thousands of calls on our platform. There’s lots of data to improve on and build. 🔧 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 your coworker: build an in-house prompt system that can use production signals or human labels to constantly and iteratively refine and improve prompts and output - 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 r