At a Glance
- Tasks: Design and build AI agents and workflows that deliver real-world impact.
- Company: Join a leading AI firm focused on scalable solutions.
- Benefits: Competitive daily rate, hybrid work model, and high visibility in projects.
- Other info: Fast-paced environment with opportunities for significant career growth.
- Why this job: Shape the future of AI with live systems and make a real difference.
- 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
Inżynier - Aplikant in London employer: Russell Tobin
Join a forward-thinking company at the forefront of AI innovation in London, where you'll be part of a dynamic team dedicated to deploying impactful AI solutions. With a strong emphasis on collaboration and ownership, employees benefit from a supportive work culture that fosters professional growth and encourages the development of cutting-edge technologies. Enjoy the unique advantage of working in a hybrid environment that balances flexibility with the excitement of contributing to real-world applications of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Inżynier - Aplikant 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 or GitHub repository showcasing your projects, especially those involving LLMs and AI agents. This gives potential employers a taste of what you can do beyond the written application.
✨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! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Inżynier - Aplikant 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 experience with deploying AI systems and how you’ve made an impact in previous roles.
Showcase Your Projects:If you've worked on any AI 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 build reliable, scalable systems. Don’t be shy—let us know what you’ve achieved!
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 at StudySmarter!
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 specific frameworks mentioned, like LangChain and RAG systems. Brush up on your experience with deploying LLM-powered systems, as you’ll want to showcase your hands-on skills during the interview.
✨Showcase Real-World Impact
Prepare examples of AI systems you've built that are actively used and delivering measurable value. Highlight your experience in fast-paced environments and how your contributions have made a difference in previous roles.
✨Be Ready for Technical Questions
Expect questions that dive deep into your understanding of AI agents, multi-step reasoning, and tool orchestration. Practise explaining complex concepts clearly and concisely, as this will demonstrate your expertise and communication skills.
✨Demonstrate Collaboration Skills
Since the role involves working closely with engineering teams, be prepared to discuss how you’ve collaborated in the past. Share specific instances where you’ve contributed to project success through teamwork and effective communication.
