Forward Deployed Engineers

Role: Forward Deployed Engineers

Location: London, UK

Type: Contract Inside IR35

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.

• Design and implement AI agents, including
  • Retrieval (RAG)
  • Orchestration workflows
  • Tool/function invocation
  • 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

• 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)

• Experience with agent frameworks (e.g., Lang Graph, Auto Gen, CrewAI)
• Experience designing multi‑agent or distributed AI systems
• Familiarity with enterprise‑scale system integration
• Experience optimizing AI workloads for cost and performance

• 100% hands‑on engineering role (no people management)
• Deliver production‑quality code and deployments
• Work within existing architecture and engineering standards
• Collaborate with client and internal engineering teams as needed
• Participate in technical design discussions (implementation‑focused)

Randstad Technologies is acting as an Employment Business in relation to this vacancy.