Full job description*Role : Forward Deployed Engineers
*Location : London, UK
*Type : Contract Inside IR35




Job Description:
Overview
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.
Responsibilities
AI Agent Engineering
* 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
AI Platform Integration
* 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
Cloud-Native Development
* 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
Application Development
* 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
Testing & Performance
* Define and execute test strategies for AI systems
* Measure system performance (latency, throughput, accuracy, cost)
* Debug and optimize production systems
Required Skills & Experience
* 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
Infrastructure as code
Monitoring and observability tools
* Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)
Preferred Experience
* 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
Scope & Expectations (Contractor-Specific)
* 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.