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Architect of Autonomous Research Platform

от 15 000 EUR
Опубликовано: 10 июня 2026
seniorАрхитектураfulltimeenllmragagent systemspythonpytorchjaxstatisticssystems designmulti-agent orchestrationhftresearchproduction
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AI research company is building an autonomous agent-based research platform for scientific discovery, starting with financial markets. They seek an AI Architect to design multi-agent orchestration, knowledge systems, and evaluation frameworks.
#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 @•••••• 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.