#AI #LLM #AgentSystems #HFT #Research #Relocation #Amsterdam #Dubai #London #Montreal
🚀 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.
Навыки
apply statistical analysis techniques
gather experimental data
Prompt Engineering
Python (computer programming)
RAG
software components libraries
Домены
AI
Biotech
Finance
HFT
Life sciences
ML
Physics
ИИ навыки
agent collaboration
DSL development
experimental design
JAX
llm architecture
low‑latency systems design
Machine Learning
multi-agent orchestration
Pipeline Design
Python
PyTorch
Statistics
Systems Design
* Навыки определены автоматически с помощью нейросети
ИИ домены
Artificial Intelligence
Biotechnology
Financial Markets
fundamental physics
high‑frequency trading (HFT)
Life sciences
* Домены определены автоматически с помощью нейросети