At a Glance
- Tasks: Design and deploy AI systems for personalised advertising and customer analytics.
- Company: Join Quantum, a leading digital comparison service transforming buying decisions.
- Benefits: Enjoy private healthcare, hybrid working, competitive salary, and exciting team events.
- Other info: Collaborative culture with excellent growth opportunities and a focus on mentorship.
- Why this job: Be at the forefront of AI innovation and make a real impact in marketing.
- Qualifications: Experience in software engineering, especially in Ad Tech or Mar Tech environments.
The predicted salary is between 60000 - 80000 £ per year.
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, optimized 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.
Senior AI Engineer employer: Quantum
At Quantum, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior AI Engineer, you'll benefit from a competitive salary, private healthcare, and a hybrid working model, all while contributing to cutting-edge projects in a supportive environment that prioritises employee growth and development. With regular team events and a commitment to recognising achievements, Quantum is the perfect place for those looking to make a meaningful impact in the world of digital marketing.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to ad tech or mar tech. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and real-world applications. Practice explaining complex concepts in simple terms, as communication is key in cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Quantum.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI and software engineering, especially in Ad Tech or Mar Tech. We want to see how your skills align with our mission at Quantum!
Showcase Your Projects:Include specific examples of projects you've worked on that demonstrate your ability to design and deploy AI systems. We love seeing real-world applications of your skills, so don’t hold back!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at Quantum
✨Know Your AI Stuff
Make sure you brush up on the latest AI techniques and tools relevant to the role. Familiarise yourself with multi-agent systems, generative AI features, and the specific frameworks mentioned in the job description. Being able to discuss your experience with GCP or AWS services will definitely give you an edge.
✨Showcase Your Collaboration Skills
Since this role involves cross-functional collaboration, be prepared to share examples of how you've worked with different teams in the past. Highlight your ability to translate complex technical concepts into understandable terms for non-technical stakeholders. This will demonstrate your communication skills and teamwork.
✨Prepare for Real-World Scenarios
Think about how you would approach real-world marketing and advertising challenges using AI. Be ready to discuss specific projects where you've implemented AI solutions that delivered measurable outcomes. This shows that you can apply your knowledge practically, which is key for this position.
✨Understand Compliance and Security
Given the importance of data security and compliance in this role, make sure you understand GDPR and CCPA regulations. Be prepared to discuss how you've ensured compliance in previous projects, especially when it comes to AI systems. This will show that you're not just technically savvy but also responsible.
