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AI Engineer IRC

Job in Southampton, Hampshire County, SO15, England, UK
Listing for: GlobalLogic
Full Time position
Listed on 2026-08-28
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Cloud Engineer - Software, DevOps
Job Description & How to Apply Below
Position: AI Engineer IRC302970

United Kingdom - Glasgow, London, Manchester

Global Logic is building AI-first enterprise solutions that help global clients transform their digital platforms and products. As a Senior/Lead AI Engineer, you will own and drive the development of our core agentic frameworks, evaluation pipelines, and observability tooling to ensure they operate with safety, trust, and intelligence  won’t just be integrating AI into a product, you will lead the engineering systems that make these technologies trustworthy, robust, and scalable for enterprise clients.

We are looking for a Senior/Lead AI Engineer to provide technical leadership and architectural direction to our AI engineering team. In this role, you will be responsible for designing high-performance multi-agent systems, establishing robust evaluation standards, and mentoring other engineers to build production-grade, LLM-backed applications.

Requirements
  • 5+ years of software engineering experience, including hands-on experience shipping agentic or LLM-backed systems that are used in production.

What You’ll Bring

  • AI DLC experience
    :
    Demonstrated experience with AI Development Life Cycle practices and methodology.
  • Orchestration
    :
    Production, hands-on experience with an agentic framework such as Lang Graph, plus familiarity with MCP-based tool orchestration. Exposure to Auto Gen, Llama Index, or CrewAI is a plus.
  • Production Python engineering
    :
    Clean, modular, testable, maintainable code — you care about system reliability as much as model output.
  • Evaluation & observability
    :
    Practical experience instrumenting tracing (Lang Smith, Arize) and building CI/CD pipelines built specifically for LLMs.
  • Engineering foundations
    :
    Distributed systems, scalable data pipelines (Kafka, SQL), and cloud-native infrastructure.
  • Cloud-native deployment: Deep familiarity with shipping agentic workloads into production environments, ideally leveraging Kubernetes for enterprise scale.

What We’re Solving Together

  • Hallucination Reduction: Designing deterministic verification loops for enterprise outputs to guarantee factual reliability.
  • Latency Optimization: Cutting round-trip time across complex, multi-agent workflows to achieve real-time responsiveness.
  • Governance Automation: Building “Policy Agents” that turn static regulatory policies into real-time, automated compliance enforcement guardrails.
Job responsibilities
  • Architect Agentic Systems:
    Design, implement, and govern multi-agent architectures that serve as the foundational framework for our development teams.
  • Lead Eval-Driven Development:
    Establish, own, and scale the evaluation harnesses and CI/CD pipelines that measure accuracy, hallucination, and performance before any model or system ships.
  • Optimize Performance at Scale:
    Strategically tackle complex challenges like RAG latency optimization, context-window management, and intelligent information routing under enterprise-level production load.
  • Build Observability & Governance:
    Define and build real-time monitoring, tracing, and guardrail compliance tools to guarantee system transparency and policy enforcement.
  • Technical Leadership & Mentorship:
    Lead technical design reviews, set coding standards, and actively mentor mid-level and junior engineers on the team.
  • Cross-functional Collaboration:

    Partner with product managers, client executives, and cloud infrastructure teams to align technical delivery with strategic product goals.

#LI-CM1

What we offer

Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region supports a hybrid model that can flex across a wide spectrum of working options determined by business, customer and individual needs.

You'll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, and in office yoga sessions and massages. We offer a fantastic…

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