Architect of Autonomous Research Platform

Навыки

• B2B-продажи
• Дообучение моделей
• LLM
• Machine Learning
• P&L и бюджет
• Prompt engineering
• Python

Задачи

• 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)
• 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

Требования

• 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+
• 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

Будет плюсом

• 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
• 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

Условия

• Competitive compensation (based on expectations and experience: $10,000–17,000 gross/month

Паспорт вакансии

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