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Forward Deployed Engineers

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Randstad

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Location:
United Kingdom , London

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

450.00 - 500.00 GBP / Day
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Job Description:

Seeking a hands-on AI Native Software Engineer to design, build, and deploy production-grade AI-driven systems within enterprise environments. The role focuses on implementing agent-based workflows, integrating AI platforms, and delivering scalable cloud-native solutions.

Job Responsibility:

  • Design and implement AI agents including Retrieval (RAG), Orchestration workflows, Tool/function invocation, and Policy-based routing
  • Build evaluation frameworks for accuracy, latency, and reliability
  • Implement observability and monitoring for agent lifecycle
  • Integrate with AI providers (e.g., OpenAI, Anthropic, Google Vertex, open-source models)
  • Build abstraction layers to support multi-model and multi-provider architectures
  • Optimize model usage for performance, cost, and latency
  • Develop scalable services using Microservices architecture, Containers (Docker, Kubernetes), Serverless and event-driven patterns
  • Implement CI/CD pipelines and infrastructure as code (e.g., Terraform, Helm)
  • Ensure production readiness, logging, monitoring, and fault tolerance
  • Build and deploy AI-powered applications aligned to business workflows
  • Integrate AI systems into existing enterprise platforms and APIs
  • Develop backend services and APIs supporting agent workflows
  • Define and execute test strategies for AI systems
  • Measure system performance (latency, throughput, accuracy, cost)
  • Debug and optimize production systems

Requirements:

  • 8-10+ years of software engineering experience
  • Strong experience with cloud-native systems (APIs, microservices, containers, serverless)
  • Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration)
  • Proficiency in Python, Java, or similar backend languages
  • Experience with CI/CD pipelines
  • Experience with Infrastructure as code
  • Experience with Monitoring and observability tools
  • Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)

Nice to have:

  • Experience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI)
  • Experience designing multi-agent or distributed AI systems
  • Familiarity with enterprise-scale system integration
  • Experience optimizing AI workloads for cost and performance

Additional Information:

Job Posted:
May 20, 2026

Expiration:
August 11, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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