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- Tasks: Build cutting-edge AI demos rapidly and support client pitches with innovative solutions.
- Company: Join NetMind.ai, a leader in decentralised AI technology and innovation.
- Benefits: Access to top-tier tools, real-world portfolio building, and networking opportunities.
- Why this job: Make a real impact in the AI industry while showcasing your skills to clients and leaders.
- Qualifications: Proficient in Python, experienced with AI coding assistants, and skilled in API integration.
- Other info: Work in a prime location with a skyline view and dynamic team environment.
The predicted salary is between 500 - 1500 £ per month.
At NetMind.ai, we’re building the next-generation AI/ML platform powered by a global decentralized GPU infrastructure. Our mission is to deliver the simplest and most accessible generative AI solutions on the market and democratize access to AI technology globally. Our AI services range from inference model APIs, training and fine-tuning, GPU clusters, agentic workflows, to AI consulting—empowering organizations of all sizes and AI developers to seamlessly adopt AI in diverse industries.
If you’re passionate about building 0-to-1 AI products, thrive in fast-moving environments, and can bridge deep technical expertise with customer-driven innovation, join us as we shape the future of decentralized AI computing.
We are looking for a "Builder"—not a researcher. You will work directly with our Business Development team to translate client needs into functional Proof of Concepts (PoCs). Your goal is to build impressive, working demos at lightning speed using the latest AI tools. This is a pure Applied AI role. We don’t need you to train models from scratch; we need you to masterfully orchestrate existing LLMs and tools to solve real business problems.
Responsibilities:- Rapid Prototyping: Build functional web-based AI demos from "zero to one" within days (or hours) to support client pitches.
- AI Stack Integration: Utilize Claude Code Agent, Google Gemini, and OpenAI APIs to implement features like RAG, document analysis, and automated workflows.
- Full-Stack Lite: Use Python and Streamlit to create clean, interactive, and client-ready user interfaces.
- Prompt Engineering: Design and optimize complex system prompts to ensure reliable model outputs for business use cases.
- The "Cursor" User: You are a heavy user of AI coding assistants (e.g., Cursor, Claude Code, GitHub Copilot). You know how to leverage them to code 10x faster.
- Python Proficiency: You are comfortable writing clean, modular Python code.
- Streamlit Wizard: You can spin up a UI in Streamlit blindly. (Experience with Gradio/Chainlit is also fine).
- API Experience: You are familiar with calling REST APIs and handling JSON data.
- Problem Solver: You can take a vague requirement from a BD (e.g., "Analyze this report") and turn it into a technical solution.
- Proficient in Chinese Mandarin as you will also work with team in Asia.
- Access to SOTA Tools: Unlimited access to the latest paid APIs (Claude 3.5 Sonnet, Gemini 1.5 Pro, GPT-4o) and tools. We pay for the tech; you build the magic.
- Real-world Portfolio: The demos you build aren’t toy projects—they address real client needs. You will leave this internship with a solid portfolio of "Applied AI" projects to show future employers.
- High Visibility: You won’t be hidden in a back office. Your work will be directly seen by clients and business leaders, giving you deep insight into how AI is actually landing in the industry.
- Prime office location with skyline view.
- Networking opportunities in the AI ecosystem.
Artificial Intelligence Engineer Intern(Applied GenAI) in London employer: NetMind.AI
Contact Detail:
NetMind.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer Intern(Applied GenAI) in London
✨Tip Number 1
Get your hands dirty with practical projects! Build some cool demos using the latest AI tools and showcase them on your portfolio. This will not only impress potential employers but also give you real-world experience that sets you apart.
✨Tip Number 2
Network like a pro! Attend AI meetups, webinars, or online forums to connect with industry professionals. Don’t be shy—reach out to people on LinkedIn and ask for advice or insights about their work. You never know where a simple conversation might lead!
✨Tip Number 3
Practice your pitch! When you land an interview, be ready to explain how you can turn vague client needs into functional solutions. Use examples from your projects to demonstrate your problem-solving skills and technical expertise.
✨Tip Number 4
Apply through our website! We’re always on the lookout for passionate builders like you. Make sure to tailor your application to highlight your hands-on experience with AI tools and your ability to create impressive demos quickly.
We think you need these skills to ace Artificial Intelligence Engineer Intern(Applied GenAI) in London
Some tips for your application 🫡
Show Your Passion for AI: Let us see your enthusiasm for building AI products! In your application, share any personal projects or experiences that highlight your love for AI and how you’ve used it to solve real problems.
Tailor Your Application: Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our mission at NetMind.ai!
Highlight Your Technical Skills: Don’t hold back on showcasing your Python proficiency and experience with tools like Streamlit and APIs. We’re looking for someone who can hit the ground running, so make those skills pop in your application!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at NetMind.AI
✨Know Your AI Tools
Familiarise yourself with the latest AI tools mentioned in the job description, like Claude Code Agent and Google Gemini. Be ready to discuss how you've used these tools in past projects or how you would apply them to solve real business problems.
✨Showcase Your Prototyping Skills
Prepare to talk about your experience with rapid prototyping. Have examples ready where you've built functional demos quickly, especially using Python and Streamlit. This will demonstrate your ability to deliver under pressure, which is key for this role.
✨Master Prompt Engineering
Brush up on prompt engineering techniques. Be prepared to explain how you would design prompts for different use cases and ensure reliable outputs. This shows that you understand the nuances of working with existing LLMs and can tailor them to client needs.
✨Communicate Clearly
Since you'll be translating vague requirements into technical solutions, practice explaining complex ideas simply. Use examples from your past experiences to illustrate how you’ve successfully bridged the gap between technical and non-technical stakeholders.