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For Companies At a Glance
- Tasks: Design and deliver cutting-edge Agentic AI solutions for real business workflows.
- Company: Join a dynamic team at the forefront of Generative AI innovation.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for career growth.
- Why this job: Make a tangible impact by building LLM-powered systems used across complex organisations.
- Qualifications: Experience with Generative AI, Python, and cloud platforms like Azure or AWS.
- Other info: Exciting long-term projects with strong potential for contract extensions.
The predicted salary is between 43200 - 72000 £ per year.
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 are recruiting experienced Senior AI Engineers to support a large-scale enterprise Generative AI and Agentic AI programme. This is production delivery, not experimentation. You will 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
Agentic AI Engineer in London employer: TechNET IT
Contact Detail:
TechNET IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Generative AI and LLMs. We want to see what you can do, so make sure to highlight your best work when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of Agentic AI frameworks and be ready to discuss how you’ve tackled real-world problems. We’re all about practical experience, so come armed with examples.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re excited to find talent like you, so let’s make it happen!
We think you need these skills to ace Agentic AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Agentic AI Engineer. Highlight your experience with Generative AI and LLMs, and don’t forget to mention any relevant projects you've worked on that align with our needs.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your skills can contribute to our multi-client programme. Keep it engaging and personal!
Showcase Your Technical Skills: We want to see your hands-on experience! Be sure to include specific examples of your work with Python, AI libraries, and cloud platforms like Azure or AWS. This will help us understand your technical prowess.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at TechNET IT
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest Generative AI and LLM technologies. Brush up on frameworks like LangGraph and AutoGen, and be ready to discuss your hands-on experience with Python and modern AI libraries. This will show that you’re not just familiar with the concepts but can actually apply them.
✨Showcase Real-World Applications
Prepare examples of how you've designed and delivered Agentic AI solutions in real business contexts. Be ready to explain how your work has impacted workflows and contributed to project success. This will demonstrate your ability to translate technical skills into tangible results.
✨Understand the Business Side
Familiarise yourself with the enterprise landscape and how AI integrates into existing platforms. Knowing how to align AI solutions with business goals will set you apart. Be prepared to discuss how you can contribute to multi-client programmes and long-term projects.
✨Engage with Stakeholders
Highlight your experience working closely with architects, product owners, and senior stakeholders. Communication is key in these roles, so be ready to discuss how you’ve successfully collaborated with different teams to drive projects forward.
