AI Engineer, Gain
+ Annual bonus linked to your performance / OKRs
3 days a week in office
Private markets intelligence app
Be an early applicant
Private markets intelligence app
201-500 employees
Be an early applicant
+ Annual bonus linked to your performance / OKRs
3 days a week in office
201-500 employees
Company mission
To provide insight into the world’s companies.
Role
Who you are
- 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
What the job involves
- 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'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
- The stack:
- Core: Python (async, fully typed with Pydantic) and FastAPI
- LLMs: multiple providers behind our own provider-agnostic layer, with Pydantic AI for typed agents
- Evals and observability: Pydantic Evals and Logfire
- Data: PostgreSQL with pgvector
- Cloud: GCP (Cloud Run, Cloud Tasks), Docker, GitHub Actions
Our take
Private market visibility isn’t easy to come by. With the year over year growth in sectors like VC investment, and growing uncertainty in the markets, the insights it yields are becoming increasingly valuable. Gain is looking to corner this market niche, with its platform that aims to provide faster and more accurate insights into private companies.
The platform offers a spread of search and source capabilities for private companies that includes comprehensive financials, automated searches and updates, and data visualisation. Whilst other companies are offering a similar service for high-growth UK companies, Gain’s private and global market focus takes this successful model and applies it to a particularly lucrative area.
Gain is seeing good results, too. It’s secured a spread of blue-chip clientele including Bain, McKinsey, Rothschild, and Perella Weinberg, demonstrating a strong product with high growth potential. Plus, with plenty of funding under its belt, it’s on solid footing to find future success.
Steph
Company Specialist at Welcome to the Jungle
Insights
89% employee growth in 12 months
Company
Funding (1 round)
May 2022
$11.3m
SERIES A
Total funding: $11.3m
Company benefits
- Private medical care and sport card
- High-growth fintech scale-up with an international footprint
- Flexibility to leeway around exam periods or deadlines
- Hybrid working model, with flexible access to our Warsaw office
- Clear development path supported by lots of coaching and a feedback-driven approach
- Unmatched learning and career preparation opportunities for private equity, investment banking or consulting
- Culture of trust, ownership and standard of excellence
- Fun working atmosphere with company-wide outings and events
Company HQ
Jeruzalem, Amsterdam, Netherlands
Leadership
Nicola Ebmeyer
(Co-CEO & Co-founder)They spent five years with McKinsey, ultimately as an Engagement Manager.
Frister Haveman
(Co-CEO & Co-founder)Previously a consultant with Bain, then moved into investment with Gilde Buy Out Partners and Bridgepoint.
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