Position: Forward Deployed Engineer (B2) Location: London, UK (Hybrid) Permanent position Job Requirements Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain, LangGraph etc. Clear understanding of Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.) Experience with DevOps tools: Kubernetes, Docker, Terraform, CI/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike 5+ years of engineering and technical deployment experience in a customer-facing set up Should scoped and delivered complex systems in rapid and ambiguous environments Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks Understand how AI model behaviour affects product experience Communicate clearly with engineers, product teams, and customer stakeholders Flag risks early and s