FuriaHubAbout the role
Architect of Autonomous Research Platform
We're looking for an AI Architect to build from scratch an agent-based research and execution platform — the foundation of a fully autonomous AI Scientist.
The Project
Our client is an AI research company building a system that can formulate hypotheses, design experiments, train models, and discover answers — without human intervention.
Their first domain is financial markets: fast feedback loops, high-quality real-world data, rapid iteration. But the long-term vision goes far beyond trading — into life sciences, biotech, and fundamental physics.
They are not a traditional trading firm. They see themselves as a research lab building frontier AI systems.
The long-term vision
a fully automated pipeline where the entire lifecycle
hypothesis → research → validation → execution → optimization
- is handled by agent-based systems.
Responsibilities
- Design and implement a multi-agent orchestration framework (roles, communication, memory, decision loops);
- Build retrieval and knowledge systems grounded in market data and research;
- Develop a Strategy DSL and compiler for research → simulation → production;
- Create falsification-first evaluation systems to eliminate false alpha;
- Design an “alpha memory” layer to accumulate knowledge and avoid repeated mistakes;
- Work closely with researchers and engineers to bring ideas into low-latency production;
- Define robustness metrics beyond P&L (stability, execution realism, capacity, novelty).
What We're Looking For
- LLM architecture expertise: RAG, fine-tuning, prompt engineering, and evaluation frameworks;
- Agent systems experience: Building multi-agent orchestration, memory management, tool use, and collaboration (beyond basic LLM integrations);
- Experience creating auto-researcher / co-scientist systems: Proven track record of building autonomous research agents or AI systems that assist scientists/analysts;
- Strong Python + ML skills: Production-ready code with PyTorch, JAX, or similar frameworks;
- Statistical rigor: Experimental design and statistics for non-stationary, noisy environments;
- Systems thinking: Ability to design abstractions, interfaces, and pipelines - not just models;
English proficiency: B2+.
Nice to Have
HFT/MFT experience or low-latency mindset (nanosecond-scale, hardware-aware, deterministic design).
What’s Offered
- Compensation: up to €15,000 gross/month, based on experience (open to discussion);
- Locations: Netherlands (Amsterdam), UAE (Dubai) - relocation support provided; or UK (London) / Canada (Montreal) if you're already based there - official employment arranged;
- Access to alternative high-performance computing architecture (beyond GPUs);
- Research-driven environment with real-world impact and encouragement to publish;
- Small, fast-moving team — your contribution has direct impact.
Contacts
If you're excited about building autonomous systems that go all the way from research to execution - DM @sobolevavalery
In your message, please include 3–5 lines about your experience with LLMs and AI agents, and whether you have built auto-researcher or co-scientist systems — this helps us quickly assess the fit.