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Agent Systems Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Jobtailor
Full Time position
Listed on 2026-07-21
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), DevOps, AI Reliability/ Performance Engineer
Salary/Wage Range or Industry Benchmark: 90000 - 120000 GBP Yearly GBP 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

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.
Requirements
  • 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.
Core Competencies

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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