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 growth and innovation.
- Why this job: Shape the future of AI with live systems and meaningful enterprise impact.
- 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 employer: Russell Tobin
Join a forward-thinking company in London that prioritises innovation and real-world impact in AI. 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. The company offers competitive rates and fosters a supportive atmosphere where your contributions are valued and can lead to significant advancements in enterprise AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Inżynier - Aplikant
✨Tip Number 1
Network like a pro! Get out there and connect with people 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 AI agents. This is your chance to demonstrate your hands-on experience and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding of RAG systems. Be ready to discuss your past projects and how you’ve tackled challenges in deploying AI systems. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talent that can help us build reliable AI systems. Your next big opportunity could be just a click away!
We think you need these skills to ace Inżynier - Aplikant
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Inżynier - Aplikant. Highlight your experience with AI systems, Python skills, and any relevant projects that showcase your ability to deliver real-world impact.
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 job description.
Showcase Your Projects:If you've worked on any AI projects, make sure to include them in your application. We love seeing tangible examples of your work, especially those that demonstrate your ability to build and deploy AI systems in production environments.
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 from us!
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 specific projects where you've deployed LLM-powered systems.
✨Showcase Real-World Impact
Prepare examples of AI systems you've built that have delivered measurable business value. Highlight your experience in fast-paced environments and how your contributions have made a difference, rather than just focusing on experimental work.
✨Be Ready for Technical Questions
Expect questions about balancing model performance, latency, and cost efficiency. Think through scenarios where you had to make pragmatic decisions and be prepared to explain your thought process clearly.
✨Collaborative Mindset
Since collaboration is key, think of examples where you’ve worked closely with engineering teams. Be ready to discuss how you ensured scalability and maintainability in your projects, as this will show you understand the bigger picture.
