Added
14 days ago
Type
Full time
Salary
Salary not provided

Related skills

kubernetes gcp machine learning prompt engineering apache airflow

πŸ“‹ Description

  • Design, build, and deploy scalable multi-agent AI features for Mar Tech challenges including ad
  • Research and implement agentic design patterns using LangGraph, AutoGen, or CrewAI.
  • Collaborate across BI, data, and product teams to translate objectives into agent personas, tool
  • Monitor and optimise multi-agent systems in production, tracking token efficiency, loops, and

🎯 Requirements

  • Experience in software engineering in Ad Tech/Mar Tech or similar high-scale environments
  • Built multi-agent or single-agent architecture with API/MCP integrations
  • Knowledge of supervised, unsupervised, and reinforcement learning; experience with foundation
  • Practical experience with GCP or AWS equivalents (Vertex AI, BigQuery ML, Dataflow, AI Platform
  • CI/CD for AI/ML, model versioning, monitoring, and AI Ops
  • Understanding of marketing/advertising concepts like LTV, attribution, RTB, audience targeting

🎁 Benefits

  • Private Health Care (Bupa)
  • Hybrid Working (3 days in office)
  • Travel Insurance
  • Competitive Base Salary
  • Company Bonus Scheme
  • Pay for AI Subscriptions (Claude / ChatGPT / Gemini)
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