AI Architect Autonomous Research Platform

🚀 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 📩 @sobolevavalery 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