Geared toward AI engineers comfortable with multi-agent system design and real-time marketing challenges, with a preference for candidates experienced in GCP and collaborative environments in London.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Quantum via Ashby
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 & 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.
About You
- Experienced in software engineering, ideally in Ad Tech, Mar Tech, or similarly complex and high-scale environments
- Experience building multi-agent or single-agent architecture with integrations to APIs and/or MCPs
- A good understanding of supervised, unsupervised, and reinforcement learning methods alongside experience working with foundation models and prompt engineering
- Practical experience with GCP services or AWS equivalent such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc
- Practical experience with CI/CD for AI/ML, model versioning, monitoring, and AI Ops practices
- An understanding of marketing and advertising concepts such as customer lifetime value, attribution modelling, real-time bidding, and audience targeting is a plus
- Familiarity with data pipeline orchestration tools such as Apache Airflow and Kubernetes is a plus
- You do your best work as part of a team and enjoy sharing knowledge just as much as gaining it
- Confident navigating ambiguity and a fast moving environment
- Excellent written and verbal communication skills
- Collaborative and grounded, you value the perspectives of others and create space for everyone to contribute
What You’ll Get
- Private Health Care (Bupa)
- Hybrid Working (3 days in office)
- Travel Insurance
- Competitive Base Salary
- Company Bonus Scheme
- Paid for AI Subscription (Claude / ChatGPT / Gemini)
- Market-Leading Training Programme
- Recognition & Reward Scheme
- Annual Company Conference
- Regular Happy Hours & Team Lunches
- Free Coffee, Drinks & Snacks
What’s the next step?
Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them.
If you like the sound of what we're all about at Quantum and want to join a team where you can make an impact, please apply or contact us at careers@quantum.media.
Source: Quantum careers (Ashby)