At a Glance
- Tasks: Design and build AI agents to solve complex business problems with cutting-edge technology.
- Company: Globally established B2B information and professional services business.
- Benefits: Competitive daily rate, hybrid work, and opportunities for professional growth.
- Other info: Join a dynamic team expanding AI capabilities across the globe.
- Why this job: Make a real impact by deploying LLM-powered systems at scale.
- Qualifications: Experience in building live AI systems and strong problem-solving skills.
London - Hybrid.
Circa £500 – £675 per day (and negotiable DOE)
Contract (Outside IR35)
Mid-level, Senior & Lead.
Agentic AI / Machine Learning.
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.
- Integrating AI into products, APIs and core business workflows - with a sharp eye on latency, cost and real-world usability.
AI Engineer - LLM & Agentic Systems employer: Intec Select Ltd
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 team dedicated to delivering real-world solutions at scale.
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, especially those who are already working with LLMs. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! If you've built any LLM-powered systems or agentic workflows, make sure to showcase them in your portfolio. A live demo or a case study can really set you apart from the crowd and give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of MCP-style architectures and frameworks like LangChain. Practice explaining your past projects and how you tackled challenges. Being able to articulate your thought process is key to impressing interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team. Let’s get you that dream job!
We think you need these skills to ace AI Engineer - LLM & Agentic Systems
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with LLMs and agentic systems, and don’t forget to mention any projects where you've shipped live systems. We want to see how you’ve made an impact!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your skills align with our needs. Share specific examples of your work that demonstrate your ability to deliver end-to-end solutions.
Showcase Your Projects:If you've worked on relevant projects, make sure to showcase them! Include links or descriptions of systems you've built, especially those that are live in production. We love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Intec Select Ltd
✨Know Your Stuff
Make sure you’re well-versed in LLMs and agentic systems. Brush up on your experience with machine learning frameworks like LangChain or FastAPI, and be ready to discuss specific projects where you've built live systems. This shows you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to talk about real-world problems you've solved using AI. Think of examples where you designed and built AI agents or workflows that had a tangible impact. Be specific about the challenges you faced and how you overcame them, as this will demonstrate your ability to deliver end-to-end solutions.
✨Understand the Business Context
Research the company and its industry sectors. Understand how AI can solve their specific business problems. This will help you tailor your answers and show that you’re not just a techie, but someone who understands the bigger picture and can integrate AI into core business workflows effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, challenges they face, and their vision for AI integration. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. Plus, it makes for a more engaging conversation!
