AI Engineer

Gain is the Private Markets Super App, a connected global platform transforming how leading investors, advisors, and corporates source, evaluate, and execute deals. By combining investment-grade intelligence, AI-powered workflows, and proprietary data in one unified platform, Gain enables top deal teams to move faster, reduce risk, and build conviction with confidence.

Gain is trusted across more than $1 trillion of private capital, used by 100% of MBB and Big Four firms, and by 80% of the world’s top 20 M&A advisory houses.

Recognized for fast innovation and impact, Gain has been named both US and EU Data Provider of the Year by PE Wire, awarded Global Financial Market Review’s Best Use of AI in Finance, and ranked in Sifted’s Top 100 Fastest-Growing Companies, the Forbes 1000, and the Deloitte Technology Fast 50. Gain operates globally with offices in New York, London, Amsterdam, Frankfurt, Warsaw, and Bangalore.

The work is roughly half LLM agents and half custom ML, leaning slightly toward agents.

• The design of our agent pipelines: architecture, tools, and which model for which task. You'll shape the technical direction with our AI Lead.

• The evaluation behind agents and models: offline reference sets, live production evals, and the call on whether an improvement is real.

• Our prediction models for financials and deals: features, validation, retraining, and knowing when a simpler model wins.

• Getting work into production: trace where pipelines fail and fix the weakest links first, with compute, memory and model cost in view.

• Raising the bar in the team through design reviews, pairing, and an eval-first habit that sticks.

In your first six months you'll own the evals for our agent pipelines, propose where we invest next, and ship measurable improvements to both the agents and the prediction models.

• You've built and owned ML systems in production for years, typically 6+ in ML or software engineering.

• In the last 1–2 years you've shipped LLM agents or pipelines that real users depend on, not demos.

• You have modelling judgement. You've dealt with leakage, distribution shift and calibration on real data.

• You measure before you claim. You can build an evaluation set and tell an honest improvement from a lucky one.

• You care about the user outcome more than the technique. Ideas without a clear customer benefit don't get built here, however interesting.

• Nice to have: time-to-event modelling, noisy or conflicting data sources, financial or private-company data. No finance background needed.

You'll join our Data & AI team of six and report to Renan, our AI Lead who's been building production models for >10 years. Our engineering team runs the infrastructure, and you shape what runs on it.

We are proud of our wonderful product and believe it has lots of potential. We are growing fast and having fun while building our platform and company. Does this sound like a team you would like to become a part of? Click ‘Apply’ and submit your CV, we are excited to get to know you and show you what we do!

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Gain is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, veteran status, or any other legally protected characteristics.