
Senior Software Engineer - AI Platform & Cloud Services
- Cambridge
- Permanent
- Full-time
- 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.
- 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.
- Knowledge of AI orchestration frameworks such as Semantic Kernel, AI Foundry, or similar.
- Experience with tools for automated testing and evaluation of AI outputs is a plus.
- Experience in Python and AI frameworks / tools such as PyTorch and TensorFlow.
- 6+ years of experience in software engineering, with at least 2 years focused on building or integrating AI/ML solutions.
- 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