AI & Agentic Solutions

Production AI and agents on AWS and Azure

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Build AI agents that act on your systems, with guardrails built in.

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Secure generative AI applications inside your AWS environment.

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Accurate, cited answers from your own documents and data.

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Run AI in production with DevOps discipline.

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Design modern, resilient application architectures for cloud-native environments

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Hybrid Cloud & Migration

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Automate infrastructure and delivery pipelines with confidence

DevOps, CI/CD & Infrastructure Automation

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Control cloud spend with clear visibility and governance

Cloud Cost Optimisation & FinOps

Engineering-led cost optimisation with real, measurable savings

Forward Deployed Engineer

  • 5+ Years Experience
  • Cardiff - On-site
  • Full time

Job Summary

Cloud DevOps Limited is looking for a Forward Deployed Engineer to partner with enterprise customers implementing agentic AI systems. The role focuses on designing and operationalising production-grade AI infrastructure.

  • Location: Cardiff (on-site)
  • Employment type: Full-time
  • Experience: Minimum 5 years of industry experience
  • Salary: Negotiable
  • Application deadline: 31 October 2026

Responsibilities

  • Partner directly with enterprise customers to design, deploy and operationalise agentic AI systems
  • Architect multi-agent orchestration pipelines integrating LLMs with tools, APIs and data sources
  • Build and tune retrieval-augmented generation (RAG) and autonomous agent frameworks
  • Own end-to-end technical relationships from scoping through production optimisation

Requirements

  • Minimum 5 years of industry experience
  • Strong software engineering background in Python and/or TypeScript, with production system experience
  • Hands-on experience with agentic AI and LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex)
  • Experience designing multi-agent systems, prompt engineering and reliability guardrails
  • Cloud and DevOps proficiency (AWS, GCP, Azure, Docker, Kubernetes, CI/CD, infrastructure as code)
  • Familiarity with vector databases, model APIs, observability and tracing, and MLOps practices
  • Excellent customer-facing communication skills

Nice-to-Have Skills

  • Kubernetes and cloud certifications (CKA, AWS Solutions Architect)
  • Experience with Terraform, LangSmith, or Weights & Biases

How to Apply

Submit your CV, a GitHub or portfolio link showcasing AI or infrastructure projects, and optionally a brief note about a deployed system through our WorkSmarter vacancy page by the deadline.

Apply Now