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About this AI Engineer I - Zonda - Glasgow, Scotland, United Kingdom role at CoStar Group

CoStar Group · Onsite · Glasgow (GB) - Zonda
AI Engineer I - Zonda - Glasgow, Scotland, United Kingdom


Job Description


AI Engineer I – Zonda - Glasgow, Scotland, United Kingdom


Job Description

Company Overview:  

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.  

We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.  


About Zonda:  

Zonda is redefining the future of housing. We are perfectly placed in the heart of the fast-growing real estate industry. We are making big bets on the future of real-estate, trailblazing a 2030 vision for the industry. Here at Zonda, you’ll be able to use your passion and curiosity to drive the next generation of real estate analysts, advisors, technologists, and marketers. 


Learn more about Zonda 


The AI Engineer I is an early-career engineering role focused on building and operating AI powered products. You will work with experienced engineers and product stakeholders to develop, evaluate, deploy, and improve LLM and machine-learning applications. The role requires strong software engineering fundamentals, practical understanding of modern AI systems, and an ability to learn quickly and solve problems pragmatically. This role is suitable for strong graduates and engineers in the early stages of their AI/ML career.


Major Job Responsibilities and Related Duties:

  • Develop and maintain components of LLM, agentic, retrieval, and other AI/ML applications.
  • Work with engineers and product stakeholders to translate product requirements into technical solutions.
  • Build experiments and evaluations to measure AI system quality, reliability, latency, and cost.
  • Prepare and integrate data required by AI applications, including retrieval and embedding-based systems.
  • Contribute to deploying, monitoring, debugging, and improving AI services in production.
  • Write clean, tested, maintainable code and contribute to code reviews, technical documentation, and team engineering practices.
  • Keep up to date with developments in applied AI and evaluate new techniques and tools where they can improve our products.

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, AI/ML, or a related field, or equivalent practical experience.
  • 0–2 years of relevant professional experience. Internships, research, and substantial academic or personal projects are relevant experience.
  • Strong Python programming skills and sound software engineering fundamentals.
  • Practical experience building at least one meaningful AI/ML application or project.
  • Sound understanding of modern LLM application concepts such as prompting, structured outputs, tool use, embeddings, retrieval/RAG, or agentic workflows.
  • Good analytical and problem-solving skills, including the ability to evaluate and debug AI system behavior.
  • Familiarity with Git and collaborative software development.
  • Clear communication skills and the ability to work effectively with both technical and non-technical colleagues.

Nice to Have:

  • Experience with LLM or agent frameworks such as LangGraph, LangChain, AutoGen, or equivalent.
  • Experience with retrieval systems, vector search, or vector databases.
  • Familiarity with SQL and data-processing workflows.
  • Experience building APIs or backend services.
  • Exposure to AWS or another cloud platform.
  • Familiarity with Docker, CI/CD, Kubernetes, or production of deployment workflows.
  • Thorough understanding of core machine learning and NLP concepts.
  • Experience using AI-assisted development tools effectively.

What’s in it for you?

Working at CoStar Group means you'll enjoy a culture of collaboration and innovation that attracts the best and brightest across a broad range of disciplines. As well as having an outstanding working environment based in the Blue Fin building. Other perks include full private medical cover, dental cover, Life Assurance and member rewards, 28 days annual leave, a competitive pension, season ticket loans, enhanced maternity and paternity pay and much more!

 

At CoStar, we recognize the positive value of diversity and promote equality. We aim at all times to recruit the person who is most suited to the job and welcome applications from people of all backgrounds including but not limited to; people of all genders, of all ages, sexual orientations, ethnicities, nationalities, religions and beliefs.


CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

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About CoStar Group

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 37 years, giving us the perspective to create truly unique and valuable products and services. We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry

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