Experienced Software Engineer, AI Services | Cambridge | Hybrid | Up to £86,000 plus benefits
I am currently working with a Global leader in industrial software who are looking for an Experienced Software Engineer to join their AI Services. You will help design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native.
Responsibilities
* Design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native.
* Architect and deploy scalable cloud-native services using PaaS, Docker, and Kubernetes for AI workloads.
* Ensure secure API design, versioning, testing, and lifecycle management.
* Secure APIs, manage authentication/authorization, and data privacy practices.
Required Skills
* Extensive experience in software engineering, preferably in platform or cloud-native service development using Microsoft and .NET technologies.
* Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
* Proficiency in securing APIs, managing authentication/authorization, and data privacy practices.
* Hands‑on experience architecting and deploying scalable cloud‑native services using PaaS, Docker, and Kubernetes.
* Excellent problem‑solving skills with the ability to analyse complex technical challenges and propose scalable solutions.
Desired Skills and Competencies
* Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability.
* Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling.
* Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A).
* Familiarity with AI orchestration and agentic frameworks.
* Experience with tools for automated testing and evaluation of AI outputs.
* Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act) and commitment to responsible AI development.
* Experience working in Agile teams and collaborating across global R&D locations.
You will be working out of their North Cambridge based office on a hybrid basis (50% WFH). The position pays a salary of up to £86,000 plus benefits.
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