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.
Requirements
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
Tech Stack
Airflow
Apache
AWS
BigQuery
Cloud
Google Cloud Platform
Kubernetes
Benefits
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)