AI Architect (HFT)

🚀 Architect of Autonomous Research Platform

We’re looking for an AI Architect to build from scratch an agent-based research and execution platform for a new HFT initiative within a research-driven trading environment.

🔬 The Project
You’ll be working in a vertically integrated setup where AI research is directly translated into trading strategies and real-world performance.

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 & Low-Latency Mindset: Prior experience in High-Frequency/Market-Making Trading or working with low-latency constraints (nanosecond-scale, hardware-aware, deterministic design) is a plus.

💰 What’s Offered
Competitive compensation (based on expectations and experience: $10,000–17,000 gross/month; open to discussion);
Locations: Netherlands / Canada / UAE / Cyprus / Serbia or remote (EU timezone, B2B);
Relocation support (Netherlands);
Access to alternative high-performance computing architecture (beyond GPUs);
Research-driven environment with real-world impact;
Small, fast-moving team with minimal bureaucracy.

Contacts
If you’re excited about building autonomous systems that go all the way from research to execution - feel free to DM 📩 Показать контакты

In your message, please include 3–5 lines about your experience with LLMs and AI agents, and whether you have experience building auto-researcher / co-scientist systems - this is important to help us quickly assess the fit.

@ml_data_science_job