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
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💰 - Day rate
Unknown
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🗓️ - Date
January 29, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - 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