AI Intern

AI Intern

Department: Data Science

Remote, United Kingdom

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.

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 an 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 & Inclusion

Inclusion & Equal Opportunity Employment:

Zonda (formerly Hanley Wood | Meyers Research) is proud to be an Equal Opportunity Employer committed to diversity, inclusion & belonging. Here at Zonda, we are interested in every qualified candidate who is eligible to work in the United States.