Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop AI systems while collaborating with engineers and business teams.
- Company: Zonda, a leader in data and technology for the homebuilding industry.
- Benefits: Gain hands-on experience, work remotely, and develop your skills in a fast-paced environment.
- Other info: Collaborate with experienced professionals and learn about cutting-edge AI technologies.
- Why this job: Make a real impact on the future of housing through innovative AI solutions.
- Qualifications: Pursuing a degree in Computer Science or related field, with Python proficiency.
The predicted salary is between 20000 - 30000 ÂŁ per year.
Why you’ll love Zonda
Zonda is redefining the future of housing. As the leading provider of data, analytics, and technology solutions for the homebuilding industry, we are uniquely positioned at the center of one of the fastest-growing sectors in real estate. We make bold bets on the future of housing, empowering the next generation of builders, developers, lenders, and industry professionals with the insights and tools they need to win.
Department: Data Science
Remote, United Kingdom
At Zonda, you’ll have the opportunity to bring your passion, curiosity, and technical expertise to a team shaping the future of housing through innovation, data, and emerging technologies. If you are excited by the opportunity to work on cutting‑edge AI solutions in a collaborative, fast‑moving environment, this is a role where you can make a real impact while continuing to grow your skills.
The Role
Zonda is seeking an AI Intern to join our Data Science team and support the engineering of AI‑powered products. In this internship, you will work closely with senior engineers and cross‑functional business stakeholders, contributing to the full lifecycle of building, testing, deploying and maintaining emerging GenAI‑based solutions. This role is ideal for a student who is passionate about artificial intelligence, software development, and solving real‑world business problems through innovative technology. The ideal candidate brings strong programming and analytical skills, experience with LLM‑based or NLP‑heavy applications, and interest in working across both technical and business‑facing teams.
What You’ll Do
- Design, develop, and optimize agentic AI systems and AI‑powered product capabilities
- Partner with team members to gather, clarify, and establish requirements for AI products
- Support the deployment, monitoring, and maintenance of AI products in production environments
- Help define and track key performance metrics such as accuracy, retrieval rates, and hit rates, and assist in identifying corrective actions when performance declines
- Evaluate and implement tools to monitor AI product performance and reliability in production
- Create and maintain technical documentation related to product design, model selection, experimentation, and production infrastructure
- Collaborate with engineering and non‑technical stakeholders to communicate AI concepts clearly and support adoption of AI solutions
- Stay current on emerging trends, tools, and best practices in artificial intelligence, machine learning, and GenAI applications
What You’ll Bring
- Currently pursuing or recently completed a Bachelor’s degree in Computer Science, Engineering, or a related technical field
- Proficiency in Python
- Experience building and deploying at least two LLM‑based or NLP‑heavy applications in real‑world or project‑based settings, ideally using frameworks such as LangGraph, LangChain, or AutoGen
- Strong mathematical, analytical, and problem‑solving skills
- Experience with retrieval systems, embeddings, and vector databases such as Weaviate or Pinecone
- Ability to structure and execute an agentic AI project from concept through implementation
- Familiarity with cloud platforms such as AWS
- Experience using version control tools such as Git
- Ability to leverage coding agents or AI‑assisted development tools to accelerate software development
- Strong communication and collaboration skills, with the ability to work effectively in a team environment
Preferred Qualifications
- Knowledge of SQL and NoSQL databases, including writing queries, query optimization, and schema design
- Experience developing APIs using tools such as FastAPI or Flask
- Understanding of machine learning algorithms and language models such as GPT, BERT, or similar technologies
- Familiarity with containerization and orchestration tools such as Docker and Kubernetes
- Ability to explain technical AI concepts to non‑technical stakeholders in a clear and approachable way
What You’ll Gain
- Hands‑on experience building and supporting AI‑powered products in a real‑world business environment
- Exposure to the end‑to‑end lifecycle of GenAI product development, from requirements gathering through production monitoring
- Opportunities to collaborate with experienced engineers and business stakeholders across the organization
- Practical experience with modern AI tools, frameworks, cloud platforms, and production workflows
- A deeper understanding of how advanced AI solutions can drive business value in the housing and real‑estate technology space
- Professional development in a fast‑paced, collaborative environment focused on innovation and continuous learning
Diversity
AI Intern employer: Zonda
Contact Detail:
Zonda Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Intern
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Zonda. Use LinkedIn to connect and engage with their posts. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs or NLP. Share it during interviews or even on your LinkedIn profile to catch the eye of recruiters.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with Python, AI systems, and any relevant tools. Practice explaining complex concepts in simple terms – it’s key for collaborating with non-technical teams!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Zonda team.
We think you need these skills to ace AI Intern
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for artificial intelligence shine through! Share any projects or experiences that highlight your love for AI and how you see it shaping the future of housing.
Tailor Your Skills to the Role: Make sure to align your skills with what we’re looking for in the AI Intern position. Highlight your programming experience, especially with Python, and any relevant projects involving LLMs or NLP applications. We want to see how you can contribute!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and skills, making it easy for us to see why you’d be a great fit for our team. Avoid jargon unless it’s necessary!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Zonda
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts, especially around LLMs and NLP. Be ready to discuss any projects you've worked on that involved these technologies, as well as the frameworks you used like LangGraph or LangChain.
✨Show Off Your Problem-Solving Skills
Zonda is looking for someone who can tackle real-world problems with innovative tech. Prepare examples of how you've approached challenges in past projects, particularly those involving data analysis or software development.
✨Communicate Clearly
Since you'll be working with both technical and non-technical teams, practice explaining complex AI concepts in simple terms. This will show that you can bridge the gap between different stakeholders and help them understand the value of AI solutions.
✨Ask Smart Questions
Prepare thoughtful questions about Zonda's AI initiatives and the role itself. This not only shows your interest but also gives you a chance to demonstrate your curiosity and passion for the field. Think about what you want to learn from this internship!