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
📩 Apply
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