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Forward Deployed Engineer (B2)

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London, United Kingdom
3 months ago
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Posted
25 Feb 2026 (3 months ago)
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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 seek attention as per the severity

    Key responsibilities:

  • Help clients integrate and adopt the offerings; demonstrate the impact / outcomes the offerings commited such as KPI improvements and help client succeed

  • Embed within the client landscape, understand their domain and co-develop solutions with the core product engineering teams

  • Own technical delivery across multiple deployments from prototype to stable release

  • Build bespoke AI and transformative agentic AI solutions

  • Technical debugging and root cause analysis

  • Rapid prototyping

  • Implement and administer best practices

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