Role & Location
Role: Forward Deployed Engineers
Location: London, UK
Type: Contract Inside IR35
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, and policy‑based routing.
* Build evaluation frameworks for accuracy, latency, and reliability.
* Implement observability and monitoring for the agent life cycle.
AI Platform Integration
* Integrate with AI providers (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 (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 back‑end 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 optimise 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 back‑end 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 (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).
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