Senior AI Engineer

Quantum · London (hybrid)senior

In short

▸Ingeniero de IA sênior que diseña sistemas multi-agente para publicidad personalizada en tiempo real.
▸Trabajas con GCP, modelos generativos y flujos agenticos, optimizando anuncios y segmentación de audiencias.
▸Destaca por implementar IA avanzada en entornos de marketing con enfoque en cumplimiento (GDPR/CCPA) y rendimiento.

Excellent written and verbal communication skills

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What they ask for

✓Experiencia en ingeniería de software, idealmente en Ad Tech o Mar Tech.
✓Construcción de arquitecturas multi-agente o single-agent con integraciones a APIs o MCPs.
✓Domino métodos de aprendizaje supervisado, no supervisado y reforzado, con experiencia en modelos base y ingeniería de prompts.
✓Experiencia práctica con GCP (Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, Dataproc) o AWS equivalente.
✓Práctica en CI/CD para IA/ML, versionado de modelos, monitoreo y prácticas de AI Ops.
✓Entendimiento de conceptos de marketing digital: CAC, atribución, bidding en tiempo real y segmentación de audiencia.

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Google Cloud Platform (GCP)Vertex AIBigQuery MLDataflowAI Platform PipelinesDataprocLangGraphAutoGenCrewAIApache Airflow

Who should you write to at Quantum?

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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. 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. 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-

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