AI Developer - Azure .Net - Cambridge

Simon James IT Ltd; Cambridge; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A technology firm specializing in AI solutions is seeking a skilled engineer to design and build secure AI platform services on Microsoft Azure. The role involves developing APIs and full-stack AI solutions while leading design reviews and mentoring junior team members. Suitable candidates should have strong experience with LLMs and relevant AI tools. The position is hybrid, based in Cambridge.

Qualifications

• Strong experience with advanced orchestration and model deployment.
• Familiarity with AI ethics frameworks like NIST AI RMF.
• Knowledge of AI standards like MCP and Agent2Agent.

Responsibilities

• Develop fault-tolerant services using Azure and .NET technologies.
• Deliver full-stack AI solutions across data pipelines.
• Mentor junior engineers and collaborate across global teams.

Skills

Large Language Models (LLMs)

Python

RESTful API design

Agile development

Security best practices

Tools

Microsoft Azure

PyTorch

TensorFlow

GitHub Copilot

Job 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.