AI Core Services Developer

• Role: AI Core Services Developer. • Work Mode: Hybrid 3 days in Cambridge, UK office • Contract Duration: Initially 6 months (likely to be extended into next year) Key Responsibilities: • Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability. • Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers. • Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. • Embed robust security controls to protect sensitive data and ensure secure access to AI services. • Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence. • Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation. • Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. AI & Cloud Expertise • 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). • Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning) • Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. • Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple development tasks. • Familiar with AI orchestration, including tools like AI Foundry and/or Semantic Kernel. • Experience with tools for automated testing and evaluation of AI outputs is a plus. • Experience in Python and AI frameworks / ools such as PyTorch and TensorFlow. Core Skills and Qualifications: • 10+ years of experience in software engineering, preferably in platform or cloud-native service development using Microsoft and .NET technologies. • Hands-on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management). • Strong expertise in RESTful API design, versioning, testing, and lifecycle management. • Proficient in securing APIs, managing authentication/authorization and data privacy practices. • Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions. • Experience working in Agile teams and collaborating across global R&D locations • Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation • Demonstrated experience with AI frameworks, tools and Python