Q
Quantum

Senior AI Engineer

London (hybrid)EnglishHybrid
EngineeringAI & DataMarketingLegalResearch
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At a glance
LocationLondon (hybrid)
Work styleHybrid
TypeNot specified
ScheduleNot specified
RemunerationNot disclosed
Start dateNot stated
DeadlineNot stated
Required languagesNot stated
The opportunity

About the role

Our CompanyAt Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity. Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world’s most used digital comparison service, delivering value and simplicity to millions. We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale. With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors.

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Your work

What you’ll do

  • We're looking for an experienced Senior AI Engineer to join our team.
  • You'll be at the forefront of designing, developing, and deploying AI systems that power personalised advertising, customer journey analytics, audience segmentation, and real-time bidding strategies.
  • Architecture & Multi-Agent Design: Design, build, and deploy scalable multi-agent systems and generative AI features for Mar Tech challenges including ad targeting, user segmentation, and content personalisation.
  • Advanced Agentic Workflows: Research and implement agentic design patterns such as planning, reflection, and tool usage using orchestration frameworks like LangGraph, AutoGen, or CrewAI.
  • Cross-Functional Collaboration: Work closely across the organisation to translate ambiguous business objectives into discrete agent personas, tool definitions, and behavioural boundaries.
  • Performance & Guardrails: Monitor and optimise multi-agent systems in production, tracking agent-specific metrics including token efficiency, execution loops, and tool-calling accuracy to ensure system reliability.
  • Security & Compliance: Maintain high standards for data security, model explainability, and mitigation of agent-specific risks such as prompt injection and unintended tool execution in compliance with GDPR and CCPA.
  • Mentorship & Best Practices: Support and develop junior engineers and help champion best practices in agent-oriented programming, prompt engineering, model evaluation, and scalable cloud infrastructure.
The organization

About Quantum

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3active opportunities
1observed locations
1work modes observed
AITechnologyHealthFinanceEducationPublic ImpactEngineeringAI & Data
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✓ Checked 2 days ago