At a Glance
- Tasks: Design and deploy intelligent AI systems that solve real business problems.
- Company: Join a leading AI programme focused on impactful solutions.
- Benefits: Hybrid work model, competitive pay, and opportunities for growth.
- Other info: Showcase your hands-on Agentic AI experience to stand out.
- Why this job: Be at the forefront of AI innovation and make a real-world impact.
- Qualifications: Strong Python skills and experience with LLM-powered applications.
The predicted salary is between 60000 - 80000 £ per year.
We're looking for AI builders, not AI experimenters. Join a major AI programme delivering production-grade Agentic AI and LLM solutions at scale. This role is focused on building intelligent systems that solve real business problems, automate complex workflows, and generate measurable impact across products and enterprise transformation initiatives.
What You'll Do
- Design and deploy AI agents and agentic workflows powered by LLMs
- Build systems using RAG, reasoning, planning, memory, and tool orchestration
- Develop multi-step AI solutions capable of autonomous decision-making and tool usage
- Work with MCP-style architectures and modern orchestration frameworks
- Deliver recommendation, classification, forecasting, and automation solutions using large-scale datasets
- Deploy scalable AI systems across cloud environments including AWS, Azure, and GCP
What We're Looking For
- Strong Python engineering skills and experience writing production-grade code
- Proven experience deploying LLM-powered applications into production
- Hands-on expertise with LangChain, LangGraph, or similar frameworks
- Demonstrable experience building Agentic AI systems and AI agents
- Strong understanding of RAG architectures and LLM optimisation
- Experience with FastAPI, MCP/FastMCP, or similar technologies
- Familiarity with cloud-native AI deployments and data-driven applications
Important
Applications must clearly demonstrate hands-on Agentic AI experience. CVs should include specific examples of designing, building, deploying, or managing agentic systems. Applications without evidence of practical Agentic AI delivery will not be considered.
If you're passionate about building AI systems that ship, scale, and create real-world impact, we'd love to hear from you.
Agentic AI Engineer in Slough employer: Russell Tobin
As an Agentic AI Engineer in London, you'll be part of a dynamic team dedicated to delivering cutting-edge AI solutions that drive real business transformation. Our hybrid work culture promotes flexibility and collaboration, while our commitment to employee growth ensures you have access to continuous learning opportunities and the latest technologies. Join us to make a tangible impact in the AI landscape and enjoy the unique advantage of working in one of the world's leading tech hubs.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space on LinkedIn or at meetups. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Agentic AI and LLMs. We want to see your hands-on experience, so make sure to highlight any real-world impact your work has had.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of RAG architectures. We recommend practising common interview questions related to AI systems and being ready to discuss your past projects in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates who are eager to build impactful AI solutions.
We think you need these skills to ace Agentic AI Engineer in Slough
Some tips for your application 🫡
Show Off Your Skills:Make sure your CV highlights your strong Python engineering skills and any experience you have with deploying LLM-powered applications. We want to see specific examples of your work, so don’t hold back!
Be Specific About Your Experience:When detailing your hands-on experience with Agentic AI systems, be as specific as possible. Mention the frameworks you've used, like LangChain or FastAPI, and describe the projects where you’ve applied them.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the job description. Highlight your experience with RAG architectures and cloud-native deployments to show us you’re the right fit for this role.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Russell Tobin
✨Showcase Your Hands-On Experience
Make sure to highlight your practical experience with Agentic AI systems during the interview. Bring specific examples of projects where you've designed, built, or deployed these systems. This will demonstrate your capability and align with what they're looking for.
✨Brush Up on Relevant Technologies
Familiarise yourself with the tools and frameworks mentioned in the job description, like LangChain and FastAPI. Be ready to discuss how you've used these technologies in your previous work, as this will show that you’re not just a theorist but someone who can deliver real solutions.
✨Prepare for Technical Questions
Expect technical questions related to Python engineering and LLM optimisation. Practise coding challenges or system design scenarios that could come up in the interview. This will help you feel more confident and ready to tackle any problem they throw your way.
✨Understand Their Business Impact
Research the company’s goals and how they use AI to solve business problems. Be prepared to discuss how your skills can contribute to their initiatives. Showing that you understand the bigger picture will set you apart from other candidates.
