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 that deploy billions of dollars annually. We are 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 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 Sample Projects Build a search ranking algorithm across open text, integrating signals from user interactions such as edits, copies, and engagement metrics alongside semantic and PostgreSQL‑based text search to improve relevance and ranking across multiple features. 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 to clean up the last mile of great speech‑to‑text 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 Based in NYC Opinionated about your work and eager to contribute to product decisions Strong communication skills and a desire for a client‑facing role Ability to break down AI/ML problems to a non‑technical audience clearly and succinctly, and translate suggestions into testable experiments Experience building LLM systems from the ground up in a product‑focused organization, able to drive everything from data gathering and logging to prompt optimizing Strong bias to action, highly organised, and experienced working with senior stakeholders to deliver large projects end to end Excited to build a team Benefits Competitive pay and equity, private healthcare Gym membership In‑office cook Summer work assignments in Greece by the beach #J-18808-Ljbffr Junior