AI Architect

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.