At a Glance
- Tasks: Design and build AI agents to solve complex business problems using LLMs.
- Company: Globally established B2B information and professional services business.
- Benefits: Competitive daily rate, hybrid work, and opportunities for growth.
- Other info: Collaborative environment with a focus on impactful AI projects.
- Why this job: Join a team that ships real-world AI solutions at scale.
- Qualifications: Proven experience with LLM systems and strong Python skills required.
Location: London - Hybrid.
Rate: Circa £500 – £675 per day (negotiable DOE).
Contract: Outside IR35.
Level: 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.
- Integrating AI into products, APIs and core business workflows - with a sharp eye on latency, cost and real-world usability.
- Collaborating closely with engineering teams to ensure systems are observable, maintainable and built to last.
Your experience as an AI Engineer - LLM & Agentic Systems:
- Proven, production-grade experience shipping LLM-powered systems - with clear, real-world examples you can speak to confidently.
- Hands-on experience building AI agents including tool use, orchestration and multi-step reasoning - RAG systems that actually deliver, not just proofs of concept.
- Strong Python skills and solid machine learning foundations - able to write clean, production-grade code with a firm grasp of system design principles.
- Cloud deployment experience across AWS, GCP or Azure, using modern engineering practices.
- A product mindset - you care about impact and adoption, not just model performance.
- You understand LLM and machine learning trade-offs and design systems accordingly.
About you:
You’ll likely have a Masters or higher in a mathematical, scientific or computer science discipline. More importantly, you’ve built things that are used - and you can explain clearly why you made the decisions you did.
At senior and lead level, we’re looking for people who take strong ownership, mentor others naturally and can drive complete workflows and projects from brief through to delivery. A background in SaaS, B2B AI products or large-scale AI transformation is a strong signal.
Ambitious, but a genuine team player - you raise the bar without making it about yourself.
If you’re building serious AI systems and want to do it at scale within a well-established global business, we’d welcome a conversation.
AI Engineer - LLM & Agentic Systems in Victoria 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 at scale, while being part of a globally recognised B2B information and professional services firm. The hybrid working model ensures flexibility, allowing you to balance your professional and personal life effectively.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - LLM & Agentic Systems in Victoria
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your projects! Create a portfolio showcasing your LLM-powered systems and agentic workflows. When you get the chance to chat with potential employers, let your work do the talking.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and system design principles. Practice coding challenges and be ready to discuss your past projects in detail—employers love to hear about real-world applications!
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. Don’t hesitate to submit your application and let us help you land that dream role in AI engineering.
We think you need these skills to ace AI Engineer - LLM & Agentic Systems in Victoria
Some tips for your application 🫡
Showcase Your Experience:When applying, make sure to highlight your hands-on experience with LLM-powered systems. We want to see real-world examples of your work, so don’t hold back on the details!
Tailor Your Application:Take a moment to customise your application for this role. Use the job description as a guide and align your skills and experiences with what we’re looking for. It shows us you’re genuinely interested!
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Remember, clarity is key!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Intec Select Ltd
✨Showcase Your Real-World Experience
Make sure to prepare specific examples of LLM-powered systems you've built and shipped. Talk about the challenges you faced, how you overcame them, and the impact your work had on the business. This will demonstrate your hands-on experience and ability to deliver real results.
✨Understand the Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like FastMCP/FastAPI and LangChain/LangGraph. Be ready to discuss how you've used similar frameworks in your past projects and how they can be applied to solve complex business problems.
✨Emphasise Collaboration Skills
Since this role involves working closely with engineering teams, highlight your experience in collaborative environments. Share examples of how you've worked with others to ensure systems are maintainable and observable, and how you’ve contributed to team success.
✨Adopt a Product Mindset
Express your understanding of the importance of user impact and adoption over just model performance. Prepare to discuss how you've integrated AI into products and workflows, focusing on usability, latency, and cost-effectiveness in your previous roles.
