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Architect of Autonomous Research Platform (AI/LLM/HFT)

🏢 NDA employer 🔍 Through a recruiter
Published: 10 June 2026 Updated: 5 days ago

📝 Description

📋 What you will do

  • Design and implement a multi-agent orchestration framework (roles, communication, memory)
  • Build retrieval and knowledge systems grounded in market data and research
  • Develop a Strategy DSL and compiler for research, simulation, and 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 including stability, execution realism, capacity, and novelty

🛠 Stack and skills

LLM architecture (RAG, fine-tuning, prompt engineering, evaluation) Agent systems (multi-agent orchestration, memory management, tool use) Python PyTorch / JAX HFT/MFT experience (nice to have) Low-latency / Hardware-aware deterministic design (nice to have) English B2+

What we expect

  • Expertise in LLM architecture and evaluation frameworks
  • Proven track record of building autonomous research agents or AI systems for scientists
  • Statistical rigor and experimental design for non-stationary, noisy environments
  • Systems thinking: ability to design abstractions, interfaces, and pipelines
  • Strong Python + ML skills with production-ready code

🎁 What we offer

  • Compensation: up to €15,000 gross/month (open to discussion)
  • Locations: Amsterdam (Netherlands), Dubai (UAE) - relocation support provided
  • Locations: London (UK), Montreal (Canada) - for locally based candidates
  • Access to alternative high-performance computing architecture (beyond GPUs)
  • Research-driven environment with encouragement to publish
  • Small, fast-moving team with real-world impact
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