Quantum

Mar Tech

SeniorAIEngineer

£85–130k ~AI est. London, England, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior AI Engineer at Quantum. Skills: AI Systems, Multi-Agent Systems, Generative AI, Cloud Infrastructure. Design scalable multi-agent systems. Build scalable multi-agent systems”

What You'll Achieve.

Deliver measurable business outcomes

Industry & Context.

Mar Tech
Problems you'll solve

Troubleshooting; Root cause analysis

What They're Looking For.

Must Have

Experienced in software engineering, Experience building multi-agent architecture, Experience working with foundation models, Practical experience with GCP services, Practical experience with CI/CD for AI/ML, Excellent written communication skills, Excellent verbal communication skills

Nice to Have

Experience in Ad Tech, Experience in Mar Tech, Experience with integrations to APIs, Experience with integrations to MCPs, Good understanding of supervised learning, Good understanding of unsupervised learning, Good understanding of reinforcement learning, Experience with prompt engineering, Experience with AWS equivalent services, Familiarity with data pipeline orchestration tools, Familiarity with Apache Airflow, Familiarity with Kubernetes, Understanding of marketing concepts, Understanding of advertising concepts

What You'll Do.

Design scalable multi-agent systems

Build scalable multi-agent systems

Deploy scalable multi-agent systems

Develop generative AI features

Research agentic design patterns

Implement agentic design patterns

Translate business objectives

Define discrete agent personas

Define tool definitions

Define behavioural boundaries

Monitor multi-agent systems

Optimise multi-agent systems

Track agent-specific metrics

Ensure system reliability

Maintain data security standards

Maintain model explainability standards

Mitigate agent-specific risks

Support junior engineers

Develop junior engineers

Champion best practices

How You'll Work.

Team & Collaboration

Cross-functional collaboration; Work across organisation; Collaborate with BI teams; Collaborate with data engineers; Collaborate with product teams; Teamwork

Communication Scope

Written communication; Verbal communication

Process & Methodology

CI/CD for AI/ML, AI Ops practices

Full Job Description

Our Company At 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. We’ve helped ambitious brands grow faster, smarter, and globally. The Role 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. Working closely with BI, data engineers, and product teams, you'll help build scalable AI solutions that deliver measurable business outcomes for some of the world's most recognised brands. Our infrastructure is powered by Google Cloud Platform (GCP), and we take pride in applying cutting-edge AI techniques to real-world marketing and advertising challenges. Key Responsibilities - 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 & Gu

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