AI Intern

Job description

Why you'll love ZondaZonda 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 RoleZonda 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 & InclusionInclusion & Equal Opportunity Employment: Zonda (formerly Hanley Wood | Meyers Research) is proud to be an Equal Opportunity Employer committed to diversity, inclusion, and belonging. Here at Zonda, we are interested in every qualified candidate who is eligible to work in the United States.

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Extra information

Status

Open

Education Level

Secondary School

Location

Glasgow

Type of Contract

Full-time jobs

Published at

15-05-2026

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English