AI Developer - Azure .Net - Cambridge

Simon James IT Ltd

Cambridge, UK

26 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

.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

+8 more

Pytorch Large Language Models Multi-Agent Systems Prompt Engineering Build Management AI Platforms Restful APIs Data Pipelines

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.

Requirements

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.