At a Glance
- Tasks: Design and build AI agents and workflows that make a real-world impact.
- Company: Join a leading AI firm in London with a hybrid work culture.
- Benefits: Competitive daily rate, flexible working, and a chance to shape AI solutions.
- Other info: Fast-paced environment with high ownership and growth opportunities.
- Why this job: Be part of a team deploying cutting-edge AI systems at scale.
- Qualifications: Strong Python skills and experience with LLM-powered systems required.
Location: London (Hybrid)
Contract: Outside IR35
Rate: £500–£550 per day (depending on interview outcome)
We’re looking for AI operators who ship — not experiment. This is an opportunity to join a major AI build focused on deploying real-world LLM and agentic systems at scale across both AI products and enterprise transformation initiatives. You’ll be working in a production-first environment where the emphasis is on building reliable, scalable AI systems that deliver measurable business impact.
What You’ll Be Working On
- Designing and building AI agents and agentic workflows powered by LLMs
- Developing systems using RAG, reasoning, planning, memory, and tool orchestration
- Building multi-step intelligent systems capable of real-world tool usage
- Working with MCP-style architectures (or equivalent) to structure context and improve interoperability
- Contributing to recommendation, classification, and forecasting systems using large-scale datasets
- Automating business workflows and decision-making processes through AI-driven solutions
What You’ll Be Doing
- Owning projects end-to-end from concept through to production deployment and iteration
- Building and deploying AI agents that operate reliably in production environments
- Integrating AI systems into APIs, products, and operational workflows
- Collaborating closely with engineering teams to ensure scalability, observability, and maintainability
- Making pragmatic decisions balancing model performance, latency, and cost efficiency
Core Requirements
- Strong Python skills with experience writing production-grade code
- Proven experience deploying LLM-powered systems into production environments
- Hands-on experience with LangChain, LangGraph, or equivalent orchestration frameworks
- Experience building AI agents and agentic workflows with tool usage and multi-step reasoning
- Strong understanding and implementation experience of RAG systems
- Familiarity with MCP/FastMCP/FastAPI or similar orchestration patterns
- Strong understanding of LLM trade-offs including hallucination mitigation, latency, and cost optimisation
- Experience deploying AI systems in cloud environments such as AWS, GCP, or Azure
- Working knowledge of SQL/data manipulation (Working knowledge of SQL or data manipulation is expected, but it is not a primary focus for this role.)
Strong signals include:
- Experience working on SaaS or B2B AI products or delivering AI-driven transformation within an organisation.
- A background in high-growth or scaling environments, where speed and pragmatism are critical.
- Clear evidence of systems that are actively used and delivering value, rather than experimental work.
Ideal Background
- Masters degree or higher in Computer Science, Mathematics, Engineering, or a related technical field
- Experience building and iterating on AI systems delivering measurable value
- Strong ownership mindset and ability to operate in fast-moving environments
- Product-focused approach with a bias toward delivering impact
Why This Role
- Work on live AI systems used at scale
- Join a well-supported AI engineering environment
- High ownership and visibility across products and operations
- Opportunity to shape enterprise AI adoption in a meaningful way
Agentic AI Engineer in City of London employer: Russell Tobin
Join a forward-thinking company in London that prioritises innovation and real-world impact in AI development. With a hybrid work model, you'll enjoy a collaborative culture that fosters professional growth and encourages ownership of projects from concept to deployment. Benefit from working on live AI systems that are actively shaping enterprise transformation, all while being part of a supportive team dedicated to delivering measurable business outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Engineer in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and machine learning space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and agentic systems. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on real-world applications of AI. Be ready to discuss how you've tackled challenges in deploying AI systems and how you balance performance with cost efficiency. We want to see that you can think on your feet!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Agentic AI Engineer in City of London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see that you’re not just ticking boxes but genuinely excited about building real-world AI systems that make an impact.
Be Specific About Your Experience:Don’t just list your skills; give us examples of how you've used them in production environments. Talk about the projects you've owned from start to finish and how they delivered measurable value. We love seeing clear evidence of your work!
Tailor Your Application:Make sure your application speaks directly to the job description. Highlight your experience with LLMs, RAG systems, and any orchestration frameworks like LangChain. We want to know how your background aligns with what we’re looking for.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Russell Tobin
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and LLMs. Brush up on your experience with LangChain and RAG systems, as you’ll likely be asked to discuss how you've used these in real-world applications.
✨Showcase Your Projects
Prepare to talk about specific projects where you’ve built and deployed AI systems. Highlight the measurable impact these projects had, focusing on how they delivered value rather than just being experimental. This will demonstrate your ability to own projects end-to-end.
✨Understand the Business Impact
Be ready to discuss how your work in AI can drive business outcomes. Think about examples where your AI solutions improved efficiency or decision-making processes. This shows that you’re not just a techie but also understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI initiatives and how they measure success. This not only shows your interest but also gives you a chance to assess if the role aligns with your career goals. It’s a two-way street!
