4 days ago
London, United KingdomSenior
Responsibilities
- Design, build, and deploy scalable multi-agent systems and generative AI features for ad targeting, user segmentation, content personalization, and other Mar Tech challenges.
- Research and implement agentic workflows using planning, reflection, tool usage, and orchestration frameworks such as LangGraph, AutoGen, and CrewAI.
- Translate ambiguous business objectives into agent personas, tool definitions, and behavioral boundaries in collaboration with cross-functional teams.
- Monitor and optimize production multi-agent systems using metrics such as token efficiency, execution loops, and tool-calling accuracy.
- Maintain data security, model explainability, and safeguards against prompt injection and unintended tool execution while supporting GDPR and CCPA compliance.
- Mentor junior engineers and promote best practices in agent-oriented programming, prompt engineering, model evaluation, and scalable cloud infrastructure.
Requirements
- Experience in software engineering, ideally in Ad Tech, Mar Tech, or similarly complex, high-scale environments.
- Experience building multi-agent or single-agent architectures with integrations to APIs and/or MCPs.
- Understanding of supervised, unsupervised, and reinforcement learning methods, along with experience working with foundation models and prompt engineering.
- Practical experience with GCP services or AWS equivalents, including technologies 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.
- Familiarity with marketing and advertising concepts such as customer lifetime value, attribution modeling, real-time bidding, and audience targeting is preferred.
- Familiarity with data pipeline orchestration tools such as Apache Airflow and Kubernetes is preferred.
- Strong teamwork, communication, collaboration, knowledge-sharing, and ability to navigate ambiguity are required.
Benefits
- Private health care through Bupa.
- Hybrid working with three days in the office.
- Travel insurance, company bonus scheme, and a competitive base salary.
- Paid AI subscription for Claude, ChatGPT, or Gemini.
- Market-leading training programme and recognition and reward scheme.
- Annual company conference, regular happy hours and team lunches, and free coffee, drinks, and snacks.
Tech Stack
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