Cambridge, Hybrid - 6 months (+ Ext)
Join a cutting-edge AI Core Services team in Cambridge to design and build secure, scalable, and cloud-native AI platform services and public APIs on Microsoft Azure. This role focuses on delivering production-grade AI capabilities that support advanced orchestration, model deployment, and secure access.
Key Responsibilities
- Develop fault-tolerant services using Azure and .NET technologies.
- Build secure, well-documented public APIs and SDKs.
- Deliver full-stack AI solutions across data pipelines and orchestration layers.
- Lead design/code reviews and contribute to architectural decisions.
- Mentor junior engineers and collaborate across global R&D teams.
Technical Expertise
- Strong experience with Large Language Models (LLMs), RAG, agent orchestration, and prompt engineering.
- Familiarity with AI standards like MCP and Agent2Agent.
- Skilled in Python, PyTorch, TensorFlow, and AI tools like GitHub Copilot.
- Knowledge of ML algorithms and AI ethics frameworks (e.g., NIST AI RMF, EU AI Act).
- Experience with AI orchestration platforms (AI Foundry, Semantic Kernel).
- RESTful API design and lifecycle management.
- Security best practices for APIs and data privacy.
- Agile development in hybrid teams.
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