At a Glance
- Tasks: Design and deploy cutting-edge AI systems using LLMs and Agentic AI.
- Company: Join a global leader in AI transformation with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and potential for contract extension.
- Other info: Collaborative team culture with opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact in a dynamic environment.
- Qualifications: Strong Python skills and experience in deploying LLM-based solutions.
Location: London (Hybrid – 1 day per week onsite in Victoria)
Rate: £600–£700 per day
IR35 Status: Outside IR35
Duration: 6 months (extension likely)
Project Overview
You'll join a major AI transformation programme within a global organisation focused on building production-grade AI systems at scale. The initiative spans both customer-facing AI products and internal business transformation, with a strong emphasis on delivering systems that are deployed, used, and continuously improved. We're seeking a Senior or Lead Machine Learning Scientist to design, build, and deploy AI agents and LLM-powered systems in real-world production environments. The team is building next-generation AI solutions using Large Language Models, Agentic AI, Retrieval-Augmented Generation (RAG), and intelligent automation to drive measurable business outcomes.
Skills & Responsibilities
- Build and deploy production-grade AI agents and LLM-powered applications.
- Design agentic workflows using LangChain, LangGraph, MCP, FastMCP, or similar frameworks.
- Develop and optimise Retrieval-Augmented Generation (RAG) systems.
- Integrate AI solutions into products, APIs, and business workflows.
- Work with AWS, Azure, or GCP to deploy scalable AI systems.
- Contribute to recommendation, classification, forecasting, and automation initiatives.
- Strong Python development experience and production software engineering skills.
- Proven track record shipping LLM-based solutions into production environments.
Tech stack: Python | LLMs | Agentic AI | LangChain | LangGraph | MCP | RAG | Vector Databases | AWS | Azure | GCP | APIs | SQL | Machine Learning | Forecasting
Senior AI Engineer (LLM/Agentic AI) | Outside IR35 in London employer: Edison Smart®
Join a forward-thinking global organisation as a Senior AI Engineer, where you'll be at the forefront of an exciting AI transformation programme in London. Enjoy a hybrid work model that promotes flexibility and work-life balance, alongside competitive daily rates and opportunities for professional growth in cutting-edge technologies like Large Language Models and Agentic AI. With a collaborative culture that values innovation and continuous improvement, this role offers a unique chance to make a significant impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer (LLM/Agentic AI) | Outside IR35 in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Senior AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and Agentic AI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Python, AWS, and deploying AI systems in production environments.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Senior AI Engineer (LLM/Agentic AI) | Outside IR35 in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with LLMs and Agentic AI. We want to see how you've built and deployed production-grade AI systems, so don’t hold back on those details!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're excited about this role and how your skills align with our project goals. Be specific about your experience with frameworks like LangChain or RAG.
Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. We love seeing real-world examples of your work with AI agents and LLM-powered applications!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Edison Smart®
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, LLMs, and Agentic AI. Brush up on your experience with frameworks like LangChain and RAG systems, as these will likely come up during technical discussions.
✨Showcase Real-World Applications
Prepare to discuss specific projects where you've built and deployed AI solutions. Highlight your contributions to production-grade systems and how they drove measurable business outcomes. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Business Impact
Familiarise yourself with how AI can transform businesses. Be ready to talk about how your work can integrate into products and workflows, and how it can enhance customer experiences or internal processes. This shows you’re not just a techie but also understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI transformation programme and their goals. Inquire about the challenges they face with deploying AI systems at scale. This not only shows your interest but also helps you gauge if the role aligns with your career aspirations.
