Lead Applied AI Engineer

Junior is building the AI operating system for investment research. Our software helps private equity firms, consultants and financial institutions complete high-stakes research workflows dramatically faster - from diligence and memo writing to market mapping, research synthesis and strategic analysis.

We’re trusted by several of the world’s top private equity firms, Big Four consultancies and leading financial institutions.

• Bootstrapped and profitable

• $25M+ in revenue after growing 10x last year

• 60+ people across the company

• 20-person engineering team, doubling to 40 this year

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

• 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 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.

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

• Based in NYC

• Are opinionated about their work and eager to contribute to product decisions

• Have strong communication skills and a desire for a client-facing role

• Are 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 optimizing

• Have a strong bias to action, highly organised and experienced working with senior stakeholders to deliver large projects end to end

• Excited to build a team

• Private health insurance

• Equinox gym membership

• Dinner provided when working late

• Team lunch provided every day at the office

• Frequent international off-sites, recently including Crete and Cancún

If you’re excited to drive innovation at Junior, we’d love to hear from you!