Junior AI Solutions Intern Engineer

About Magnus Consulting

Magnus Consulting is an AI-embedded B2B growth consultancy. We help ambitious businesses and PE-backed portfolios align marketing and sales on where to play and how to win, then embed the strategy, behaviours and systems for teams to execute. Fast.

We're a certified B Corp and listed in the FT's top UK management consultancies for the past two years. Our work is hands-on, commercially grounded, and built around real client outcomes.

The opportunity

This is an 8-week paid internship for strong early-career developers who want to build real AI tools, not sandbox projects or slide decks. From day one, you will be contributing to live work: proof-of-concepts for client pitches, deployment pipelines that take code from a laptop into production, and AI tools that go in front of real enterprise businesses.

You will work directly with our Head of AI Strategy and Lead AI Engineer, embedded in a small, expert team where your output is visible, valued, and used. We are looking to bring 3 to 4 interns in this summer, and the strongest performers will be considered for longer-term roles.

What you'll work on

Work will be split across three areas, reflecting where the team needs the most support:

Proof-of-concepts and client builds

• Build rapid prototypes using LLMs and modern development frameworks for client pitches and live AI sprints
• Turn a brief into something tangible - a working tool a client can see, test, and respond to
• Contribute to AI-powered commercial tools that go into production, not just presentations

Deployment and infrastructure

• Support the setup of deployment pipelines that take code from development into cloud infrastructure (AWS and similar)
• Help ensure builds are accessible internally for review and externally for clients, not just running on a local machine
• Work with Git, GitHub, and modern CI/CD practices to contribute to shared codebases

Long-term product work

• Contribute to longer-term AI product development, including internal Magnus tools and platform builds
• Assist with testing, QA, and documentation to support reliable, maintainable solutions
• Help evaluate new tools and frameworks as the AI landscape develops

Technical stack

You will gain hands-on exposure to a modern AI and engineering stack:

• Languages and frameworks: Node.js, TypeScript, JavaScript, React, Python
• Tooling: GitHub, VS Code, Postman, Claude Code
• AI platforms: OpenAI, Claude, Gemini and similar APIs
• Deployment: AWS, Vercel and similar cloud platforms
• Collaboration: Microsoft Teams, project management tools

Familiarity with LangChain, vector databases, or RAG frameworks is a bonus, not a requirement.

What we're looking for

Must-have

• A current student or recent graduate in Computer Science, Software Engineering, or a related field
• Working knowledge of JavaScript or Python
• Familiarity with GitHub and version control workflows
• Understanding of how APIs work and how modern web applications are put together
• London-based or able to commute to our London office for the duration of the programme
• Right to work in the UK or a student visa valid until 31 August 2026

What sets strong applicants apart

• An active GitHub profile with real builds you can point to
• Genuine curiosity about applied AI - you are experimenting and have opinions
• Some exposure to cloud deployment, even at a basic level
• An interest in how businesses grow - this sits at the intersection of AI and commercial strategy, which is unusual in the field
• Any experience in a consulting, commercial, or client-facing context

Why Magnus

• You will build things that go live. Real client work, real commercial stakes, real feedback loops.
• You will work at the intersection of applied AI and enterprise go-to-market. This combination is rare in the market and commercially valuable on your CV.
• You will work alongside our Head of AI Strategy and Lead AI Engineer, who are at the forefront of building AI systems. The learning curve is steep and deliberate.
• Magnus has been recognised by the Financial Times as one of the UK's top management consultancies for 2025 and 2026.
• The programme is designed with conversion in mind. Internships that go well have the potential to turn into roles.

Practical details

• Duration: 8 weeks, 6 July - 28 August 2026
• Location: Based in our London Bridge/Shoreditch office on Tuesdays and Wednesdays. Remote working otherwise.
• Salary: £500 per week
• Cohort: 3-4 interns, managed as a group reporting into the AI engineering lead
• Applications close: 10 June 2026