Senior AI Engineer — Multi-Agent ML with Hybrid Work

Quantum; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Private Health Care (Bupa)

Hybrid Working (3 days in office)

Travel Insurance

Competitive Base Salary

Company Bonus Scheme

Paid for AI Subscriptions

Market-Leading Training Programme

Recognition & Reward Scheme

Annual Company Conference

Team Lunches & Happy Hours

Free Coffee, Drinks & Snacks

Job summary

Quantum is seeking an experienced Senior AI Engineer to design, develop, and deploy AI systems powering personalised advertising, customer journey analytics, and real-time bidding strategies.

You will collaborate with BI, data engineers, and product teams on scalable AI solutions, using Google Cloud Platform (GCP). Our role focuses on practical, measurable business outcomes for leading brands in digital marketing.

Qualifications

• Experience building multi-agent or single-agent architectures for ad tech or martech.
• Strong knowledge of generative AI techniques and prompt engineering.
• Ability to translate business goals into concrete agent personas and tool definitions.
• Good understanding of data privacy and compliance in marketing tech.

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.

Skills

Multi-Agent Systems

Generative AI

LangGraph

AutoGen

Team collaboration

Tools

GCP (Google Cloud Platform)

Vertex AI

BigQuery ML

Dataflow

Airflow

Kubernetes

Job description

Quantum is seeking an experienced Senior AI Engineer to design, develop, and deploy AI systems powering personalised advertising, customer journey analytics, and real-time bidding strategies.

You will collaborate with BI, data engineers, and product teams on scalable AI solutions, using Google Cloud Platform (GCP). Our role focuses on practical, measurable business outcomes for leading brands in digital marketing.