At a Glance
- Tasks: Design and build AI agents to solve complex business problems.
- Company: Globally established B2B information and professional services business.
- Benefits: Competitive daily rate, hybrid work, and opportunities for growth.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Join a team that ships real LLM-powered systems at scale.
- Qualifications: Experience with LLMs and building production-level AI systems.
London - Hybrid. Circa £500 – £675 per day (and negotiable DOE) Contract (Outside IR35) Mid-level, Senior Lead.
Company: Our client is a globally established B2B information and professional services business, operating across multiple high-value industry sectors. They have established data science and machine learning engineering teams already delivering in production, and are now expanding their AI capability significantly across the global organisation.
This is a role for people who ship. If you've built LLM-powered systems and agentic workflows that are live in production - not demos, not prototypes - and you want to do that at genuine scale, this is worth applying for.
What you'll be working on as an AI Engineer - LLM Agentic Systems:
- Designing and building AI agents and agentic workflows - combining LLMs, RAG, reasoning, memory and tool orchestration to solve real, complex business problems.
- Owning delivery end-to-end - from initial exploration through to production deployment, integration and ongoing iteration.
- Working with MCP-style architectures (FastMCP/FastAPI) and LangChain/LangGraph or equivalent frameworks to build reliable, scalable systems.
AI Engineer - LLM & Agentic Systems employer: Intec Select Limited
Our client is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With competitive daily rates and a focus on employee growth, this role provides the opportunity to work on cutting-edge AI projects that have a tangible impact across various industries. The hybrid working model ensures flexibility while being part of a globally recognised organisation that values your contributions and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - LLM & Agentic Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space on LinkedIn or at industry events. 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! If you've built LLM-powered systems before, create a portfolio or a GitHub repo showcasing your projects. We want to see your work in action, so make it easy for potential employers to check out what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects in detail. We recommend practising common interview questions related to AI and agentic systems to help you feel confident.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, we love seeing familiar names pop up in our applications!
We think you need these skills to ace AI Engineer - LLM & Agentic Systems
Some tips for your application 🫡
Showcase Your Experience:When applying, make sure to highlight your hands-on experience with LLM-powered systems and agentic workflows. We want to see real projects you've worked on, not just theory. This is your chance to shine!
Tailor Your Application:Don’t just send a generic CV and cover letter. We love it when applicants tailor their documents to reflect the specific skills and experiences that match our job description. It shows us you’re genuinely interested in the role.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary to make your achievements stand out!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team. Let’s get started!
How to prepare for a job interview at Intec Select Limited
✨Know Your LLMs Inside Out
Make sure you’re well-versed in the latest developments in large language models. Be prepared to discuss your hands-on experience with LLM-powered systems and how you've tackled real-world problems using them. This will show that you’re not just familiar with the theory but have practical knowledge that can be applied.
✨Showcase Your End-to-End Delivery Skills
Since this role involves owning delivery from start to finish, come ready to share specific examples of projects where you’ve managed the entire lifecycle. Highlight your ability to take a project from initial exploration to production deployment, and don’t forget to mention any iterations you made based on feedback.
✨Familiarise Yourself with Relevant Frameworks
Brush up on MCP-style architectures like FastMCP/FastAPI and frameworks such as LangChain or LangGraph. Be prepared to discuss how you’ve used these tools in past projects, as this will demonstrate your technical proficiency and readiness to hit the ground running.
✨Prepare for Problem-Solving Scenarios
Expect to face some problem-solving scenarios during the interview. Think about complex business problems you’ve solved with agentic workflows and be ready to walk through your thought process. This will showcase your analytical skills and ability to think critically under pressure.
