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# AI Developer - Azure .Net - Cambridge

- **Company:** Simon James IT Ltd
- **Location:** Cambridge, UK
- **Contract:** Temporary contract
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Microsoft Azure, Cloud Engineering, Code Review, Fault Tolerance, Python (Programming Language), Machine Learning, Tensorflow, GitHub Copilot, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Build Management, AI Platforms, Restful APIs, Data Pipelines
- **Published:** August 26, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815164364-ai-developer-azure-net-cambridge

## About the Role

* 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.

## Description

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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