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 innovative solutions.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Ideal for those looking to make a difference in AI technology.
- Why this job: Be part of a team shaping the future of AI in a fast-paced environment.
- 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 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 AI systems, you'll be part of a transformative journey that shapes the future of enterprise technology.
StudySmarter Expert Advice🤫
We think this is how you could land Inżynier Klienta - praktykant
✨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. Having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and AI knowledge. Be ready to discuss your experience with deploying systems in production environments and how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives you a better chance to stand out in the application process.
We think you need these skills to ace Inżynier Klienta - praktykant
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 deploy LLM-powered systems. We love seeing real-world applications, so don’t hold back!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point.
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 these systems operated in production environments and the specific business impacts they had. This will demonstrate your ability to ship real solutions, not just experiments.
✨Understand the Business Side
Familiarise yourself with how AI can transform businesses, especially in SaaS or B2B contexts. Be prepared to discuss how your work can contribute to automating workflows and decision-making processes, as this aligns with the role's focus on delivering impact.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI projects and their future direction. This shows your genuine interest in the role and helps you gauge if the company’s goals align with your career aspirations. Plus, it gives you a chance to demonstrate your understanding of the industry.
