AI Research Engineer (London)
Core
Build and extend a core context-learning library and harness that powers AI agents to reverse-engineer enterprise processes from customer data (knowledge bases, logs, traces) and execute operations with confidence scoring.
Role type
Senior IC AI Research Engineer (Agentic Systems)
Builds
Production LLM-based agentic workflows, continuous learning loops, and reliability systems for enterprise automation.
Domain
Enterprise AI, Agentic Workflows, Process Automation
Deliverable
production ML models
Required skills
Production LLM system architecture, Context engineering, Agent orchestration, Evaluation frameworks, Continuous learning from feedback, Async scalable system design
Preferred skills
Multi-agent system design, Knowledge management automation, Experimental judgment, Research-to-production translation
Technologies
LLMs, Agentic workflows, Knowledge bases, Evaluation frameworks
Responsibilities
Design and implement LLM-powered systems and agentic workflows from concept to production; Build agentic features for autonomous knowledge management; Build continuous learning loops using human corrections and production outcomes; Architect async, scalable systems for complex AI orchestration; Contribute to AI strategy and product capabilities.
Seniority
Senior, hands-on IC
