

TechNET IT Recruitment Ltd
Generative AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Engineer on a 6–12 month contract, hybrid location in the UK. Key skills include Generative AI, LLMs, Python, and cloud platforms (Azure, AWS, GCP). Experience with Agentic AI frameworks is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
January 29, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
London
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🧠 - Skills detailed
#Libraries #GCP (Google Cloud Platform) #Cloud #Langchain #AI (Artificial Intelligence) #Python #PyTorch #Azure #AWS (Amazon Web Services) #Hugging Face
Role description
Senior AI Engineer – Agentic & Generative AI (Contract)
Location: Hybrid (UK – occasional travel to client sites)
Engagement: Contract
Duration: Initial 6–12 months
Outlook: Multi-year programme with strong extension potential
IR35: Mix of Outside & Inside (client dependent)
Hiring: Multiple roles (enterprise scale)
Overview
We’re recruiting experienced Senior AI Engineers to support a large-scale enterprise Generative AI and Agentic AI programme.
This is production delivery, not experimentation. You’ll be building and deploying LLM-powered systems, autonomous agents, and enterprise copilots that are actively used across complex organisations.
The programme is multi-client, long-term funded, and designed to scale.
Key Responsibilities
• Design and deliver Agentic AI solutions aligned to real business workflows
• Build and orchestrate autonomous agents with planning, reasoning, and tool use
• Develop LLM-driven systems including RAG, Q&A, and enterprise copilots
• Integrate GenAI into existing platforms, products, and processes
• Own delivery end-to-end: design through to production
• Work closely with architects, product owners, and senior stakeholders
Skills & Experience
• Strong hands-on experience with Generative AI and LLMs
• Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI
• Python with modern AI libraries (LangChain, Hugging Face, PyTorch)
• Experience building RAG pipelines and knowledge retrieval systems
• Cloud platforms: Azure, AWS, or GCP
Microsoft / Azure (Highly Desirable)
• Microsoft AI Foundry
• Azure AI Agent Service
• Microsoft Copilot Studio (custom agents and integrations)
• Azure AI Search, Azure Container Apps / AKS / Functions
• Enterprise AI governance and lifecycle tooling
Senior AI Engineer – Agentic & Generative AI (Contract)
Location: Hybrid (UK – occasional travel to client sites)
Engagement: Contract
Duration: Initial 6–12 months
Outlook: Multi-year programme with strong extension potential
IR35: Mix of Outside & Inside (client dependent)
Hiring: Multiple roles (enterprise scale)
Overview
We’re recruiting experienced Senior AI Engineers to support a large-scale enterprise Generative AI and Agentic AI programme.
This is production delivery, not experimentation. You’ll be building and deploying LLM-powered systems, autonomous agents, and enterprise copilots that are actively used across complex organisations.
The programme is multi-client, long-term funded, and designed to scale.
Key Responsibilities
• Design and deliver Agentic AI solutions aligned to real business workflows
• Build and orchestrate autonomous agents with planning, reasoning, and tool use
• Develop LLM-driven systems including RAG, Q&A, and enterprise copilots
• Integrate GenAI into existing platforms, products, and processes
• Own delivery end-to-end: design through to production
• Work closely with architects, product owners, and senior stakeholders
Skills & Experience
• Strong hands-on experience with Generative AI and LLMs
• Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI
• Python with modern AI libraries (LangChain, Hugging Face, PyTorch)
• Experience building RAG pipelines and knowledge retrieval systems
• Cloud platforms: Azure, AWS, or GCP
Microsoft / Azure (Highly Desirable)
• Microsoft AI Foundry
• Azure AI Agent Service
• Microsoft Copilot Studio (custom agents and integrations)
• Azure AI Search, Azure Container Apps / AKS / Functions
• Enterprise AI governance and lifecycle tooling






