Property FinderEngineering Graduate Trainee
Property Finder is hiring an Engineering Graduate Trainee for a remote role open to applicants in United Arab Emirates. Level rates it ; you can apply on Level.
AI in this role
Build marketplace features and LLM-powered AI agents as an engineering trainee under mentor guidance.
Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
About the Role
We're looking for a Software Engineering Trainee to join the engineering team building the region's leading property marketplace. You'll work on real problems for millions of buyers, renters and agents: our Next.js web experience, the services behind it, and the AI agents and automated workflows we're building with LLMs.
This program is for people who love solving problems. We care less about what you already know and more about how you think: how you break down an unclear problem, the questions you ask, and how quickly you learn. Experienced engineers will mentor you and review your work.
What You'll Do
Take unclear problems, break them down, and work with your mentor to scope a solution you can ship
Build features and prototypes across our React/Next.js frontend and TypeScript (Node.js) backend, with guidance and code review from experienced engineers
Build AI agents and automated workflows on top of LLMs, both for product features and to automate the team's own work, including prompts, tool calling and checking the quality of what the agents produce
Dig into data to understand how customers use what we build, and use it to back up your recommendations
Present your work and your reasoning to engineers, product managers and designers
Ask questions, learn how a large-scale marketplace works, and share what you learn with the team
What We're Looking For
RequiredA student or recent graduate in a STEM field, such as Computer Science, Engineering, Mathematics or Physics
Strong problem-solving and structured thinking: you can break a messy problem into clear parts, form hypotheses and test them
You ask the right questions and make sure you understand the problem before jumping to a solution
A proven ability to learn new things quickly, shown through projects, coursework, competitions or work experience
Hands-on experience with LLMs. For example, you've built a project on an LLM API (OpenAI, Anthropic, Gemini, AWS Bedrock or similar), worked with prompts, tool calling or retrieval (RAG), or used AI coding assistants in your day-to-day work
Some programming experience in at least one language
Good written and spoken English
A big plus: taking part in corporate case competitions
Experience with our tech stack: TypeScript/JavaScript, React and Next.js, Node.js or Go
Familiarity with databases or search (SQL, Redis, OpenSearch/Elasticsearch), or with cloud platforms such as AWS
Hackathons, competitive programming, or personal projects you can show us (for example on GitHub)
You're curious: you want to understand why, not just how
You think in structure: you frame the problem, lay out the options and explain your reasoning clearly
You ask questions early and you're comfortable saying "I don't know yet"
You learn from feedback and apply it quickly
You take ownership of your tasks and see them through
What Success Looks Like
By the end of the program, you'll have shipped real work to production or delivered a working prototype that solves a real problem. You'll have presented it to the team with clear reasoning and data, and grown noticeably as an engineer.
Our promise to talent
At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
Property Finder Guiding Principles
Think Future First
Data Beats Opinions, Speed Beats Perfection
Optimise for Impact
Act Like An Owner
The Biggest Risk is Taking no Risk at All
Find us at:
Glassdoor
How we rate this
Engineering Graduate Trainee at Property Finder rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where software engineering was part of your work. What did you do?
- How do you structure and test a prompt to get consistent output from a language model?
- Tell me about a project where problem solving was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, Software Engineering, Prompt engineering, and Problem Solving. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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