Agent Systems Engineer
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-07-21
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-21
Job specializations:
-
Software Development
AI Engineer (Applied/Software), DevOps, AI Reliability/ Performance Engineer
Job Description & How to Apply Below
Responsibilities
- Design and implement long-running, harness-based multi-agent architectures — covering topologies, orchestration, memory management, tool registries, and execution environments.
- Develop behavioral and persona models with goal-directed simulations, including evaluation frameworks, prompt schemas, and automated or human-in-the-loop feedback mechanisms to measure fidelity and surface failure modes.
- Build signal and insight systems that translate agent outputs into actionable product decisions, enabling data-driven iteration across research, product, and engineering teams.
- Ensure production reliability through comprehensive tracing, cost monitoring, failure detection, and robust fallback strategies.
- Collaborate cross-functionally with distributed systems, machine intelligence, and product teams to deliver measurable, scalable agent capabilities.
- 5+ years of hands-on experience designing and implementing production-grade distributed systems and agent-based architectures
- Strong proficiency in Python, with substantial async programming experience.
- Demonstrated experience building production ML systems, including tracing, cost monitoring, failure detection, and robust fallbacks.
- Hands-on experience with containerisation and orchestration (Docker, Kubernetes) for large-scale agent infrastructures.
- Experience designing behavioral models, goal-directed simulations, evaluation frameworks, prompt schemas, and human-in-the-loop feedback mechanisms.
- Proven ability to translate agent outputs into actionable product decisions; experience building signal and insight systems.
- Strong cross-functional communication and collaboration skills across technology, research, and product.
Expertise in designing and implementing production-grade distributed systems and agent-based architectures, with a strong focus on Python programming, containerization, and orchestration. Proven ability to develop behavioral models and translate agent outputs into actionable insights for product decisions.
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