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 deploying scalable systems.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Fast-paced environment with high ownership and visibility in your work.
- Why this job: Be part of live AI projects that shape the future of technology.
- 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 Klienta - praktykant in London employer: Russell Tobin
Join a dynamic team in London where innovation meets impact, as we focus on deploying cutting-edge AI solutions that drive real business results. Our collaborative work culture fosters creativity and ownership, providing ample opportunities for professional growth and development in a fast-paced environment. With a commitment to building reliable systems and a supportive atmosphere, we empower our employees to make meaningful contributions to the future of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Inżynier Klienta - praktykant 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 is your chance to demonstrate your hands-on experience and make a lasting impression.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s products and recent projects. Be ready to discuss how you can contribute to their AI initiatives and bring real-world impact to their systems.
✨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 take that extra step!
We think you need these skills to ace Inżynier Klienta - praktykant in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Inżynier Klienta - praktykant role. Highlight your relevant experience with AI systems and Python skills, showing us how you can contribute to our projects.
Showcase Your Projects:Include specific examples of AI projects you've worked on, especially those that demonstrate your ability to build and deploy systems in production environments. We love seeing real-world applications of your skills!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your experiences and achievements, making it easy for us to see your potential fit for the role.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. 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 Python and the frameworks mentioned in the job description, 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 have delivered measurable value. Be ready to discuss how your projects have made a difference in previous roles, especially in fast-paced environments where speed and pragmatism are key.
✨Understand the Business Side
Since this role focuses on delivering business impact, think about how your technical skills can translate into real-world applications. Be prepared to discuss how you balance model performance, latency, and cost efficiency in your projects.
✨Collaborate and Communicate
This position requires close collaboration with engineering teams, so be ready to demonstrate your teamwork skills. Share experiences where you’ve worked effectively with others to integrate AI systems into products or workflows, highlighting your communication style.
