Senior Python Engineer: AI Agents & Forecasting
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About the role
You'll architect and build the core infrastructure of the Numinous platform. This is the backbone that allows autonomous AI agents to ingest data, reason, compete, and forecast. This isn't gluing APIs together. You'll be designing the systems that score, rank, and incentivise AI forecasting agents in live, competitive environments. Day to day, you're deep in backend architecture, building production-grade agent orchestration, designing data pipelines, and solving problems at the intersection of software engineering and quantitative forecasting. You'll work directly with the founders. There are no layers between you and the decisions that shape the product.
Responsibilities
- Unifying the different parts of the stack. The network, signal layers, and forecasting architectures need to work together as one coherent system.
- Designing and building the agent orchestration pipeline that allows AI forecasters to ingest data, reason, and produce predictions.
- Building and optimising the signal pipeline that feeds real-world data into forecasting models.
- Experimenting with different forecasting architectures to find optimal approaches for linking targets to signals.
- Writing production-grade Python that handles complexity at scale, not scripts that work in a notebook.
- Contributing to technical strategy alongside the founders. You'll have a voice in what gets built and why.
- Evaluating and vetting technical candidates as the engineering team grows.
- Bad News
- We're early. The engineering function is still being built.
- Documentation is thin and processes are light
- Priorities will shift and things will break
- If you need a mature engineering culture with established practices, this isn't the role yet. You'll be helping build that culture, not inheriting it.
- Good News
- More ownership, influence, and impact in 6 months than you'd get in 5 years at a bigger company
- Technical co-founders who are direct, move fast, and actually understand what you're building
- No politics, no layers, no waiting for approval
- The problem is genuinely unsolved and the market is enormous
- If we get this right, you'll have built the infrastructure behind the world's most advanced forecasting AI.
- Your Mission
- Make the Numinous platform into a self-improving world model with the most accurate forecasts in the world. You exist to turn our vision of self-improving superhuman AI forecasting into a reality, building the systems that allow agents to get smarter, faster, and more accurate over time.
- Why Join Now
- In 12 months this role won't look like this. The team will be bigger, the foundations will be set, and the opportunity to shape everything from scratch will be gone. Right now, it's all open.
- What Good Looks Like
- At 6 months: The signal pipeline has an inductive process, a world model sits on top, and there's a sellable product for clients. You've unified the different parts of the stack (the network, signal layers, and forecasting architectures) into something coherent and powerful.
- At 12 months: The platform handles complex targets across multiple verticals including commodities, p
Benefits
Additional Information
We're building AI that predicts the future. Literally. The Company Numinous is building the world's most advanced super-forecasting AI agents. We're creating autonomous systems that ingest real-world data, reason through complex scenarios, and produce predictions for the highest-stakes decisions on the planet. Think hedge funds, traders, governments, and Fortune 500 companies. Right now, we're selling predictive intelligence to hedge funds and operating in prediction markets. But that's the starting point, not the ceiling. We're a small team, early-stage, well-backed, and moving fast. Our mission: To build forecasting AI that fundamentally changes how critical decisions get made. Our Culture We operate like founders, not employees. Everyone here has skin in the game and the autonomy to make real decisions. We move fast, communicate directly, and don't hide behind process. If something needs doing, you do it. If something's broken, you say it. We value missionaries over mercenaries. We want people who care about the mission, not just the paycheque. The kind of people who'll stay up late because the problem is interesting, not because someone told them to.
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