Senior AI Engineer

Jackalope Digital LLC

Greater London

Hybrid

GBP 90,000 - 140,000

Full time

10 days ago

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Benefits offered by this job

Health Insurance

Hybrid Work (3 days in office)

Travel Insurance

Base Salary

Bonus Scheme

AI Subscriptions

Training Programme

Recognition & Rewards

Annual Conference

Team Socials

Free Coffee & Snacks

Job summary

Quantum is seeking a Senior AI Engineer to lead design, development and deployment of scalable AI systems powering personalised advertising and real-time analytics. You’ll collaborate with BI, data engineers, and product teams to deliver measurable business outcomes on a GCP-powered stack.

You will implement advanced agentic workflows, ensure security and compliance, and mentor teammates in modern AI/ML practices.

Qualifications

Experience in software engineering, ideally in Ad Tech, Mar Tech, or similarly complex environments.
Experience building multi-agent or single-agent architectures with API integrations.
Understanding of supervised, unsupervised, and reinforcement learning methods and prompt engineering.
Experience with GCP services or AWS equivalents such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc.
Experience with CI/CD for AI/ML, model versioning, monitoring, and AI Ops practices.

Responsibilities

Design, build, and deploy scalable multi-agent systems and generative AI features for Martech challenges.
Research and implement agentic design patterns and orchestration frameworks.
Collaborate across teams to translate business objectives into agent personas and tool definitions.
Monitor and optimise agent systems in production, track token efficiency and tool-calling accuracy.
Maintain data security, model explainability, and mitigate prompt injection risks.
Mentor junior engineers and promote best practices in agent-oriented programming and cloud infra.

Skills

AI/ML systems

Multi-agent architecture

GCP / AWS

CI/CD for AI

Data pipelines

Airflow

Kubernetes

Team collaboration

Communication

Tools

Vertex AI

BigQuery ML

Dataflow

AI Platform Pipelines

Dataproc

LangGraph

AutoGen

CrewAI

Apache Airflow

Kubernetes

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 & 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