At a Glance
- Tasks: Design and build AI agents and workflows that make a real-world impact.
- Company: Join a leading AI company focused on innovative solutions.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for growth.
- Other info: Fast-paced environment with high ownership and visibility in projects.
- Why this job: Be part of a team shaping the future of AI in real applications.
- 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
STAŻYSTA INŻYNIER in London employer: Russell Tobin
Join a forward-thinking company in London that prioritises innovation and real-world impact in AI development. With a strong emphasis on collaboration, employee growth, and a production-first culture, you'll have the opportunity to work on cutting-edge AI systems while enjoying a hybrid work environment that promotes work-life balance. This role offers competitive rates and the chance to contribute to meaningful projects that shape the future of enterprise AI.
StudySmarter Expert Advice🤫
We think this is how you could land STAŻYSTA INŻYNIER in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and machine learning space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or AI agents. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on real-world applications of AI systems. Be ready to discuss how you've tackled challenges in production environments and how you can contribute to building scalable solutions.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace STAŻYSTA INŻYNIER in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python skills, experience with LLMs, and any relevant projects you've worked on. We want to see how you can contribute to our AI build!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Be specific about your experiences and how they relate to the role.
Showcase Your Projects:If you've worked on any AI systems or projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to deliver measurable impact.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Russell Tobin
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the frameworks mentioned, like LangChain and RAG systems. Brush up on your production-grade coding skills and be ready to discuss how you've deployed LLM-powered systems in real-world scenarios.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built AI agents or workflows. Highlight the measurable impact these systems had and how you tackled challenges during deployment. Real examples will make you stand out!
✨Understand the Business Impact
Be ready to discuss how your work contributes to business goals. Think about how your AI solutions can automate workflows or improve decision-making processes. Showing a product-focused mindset will resonate well with the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI initiatives and their approach to scaling systems. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you. Plus, it demonstrates your proactive attitude!
