Property FinderSoftware Engineer - Full Stack
AI in this role
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 this role
We're looking for a Software Engineer to join the team building PF Scout, Property Finder's conversational property-search experience. Scout sits at the intersection of search, AI, and the core property marketplace. You'll work across the stack on experiences that help millions of property seekers turn natural-language intent into relevant homes, recommendations, and actions. This is a hands-on full-stack role. You'll own meaningful product and technical problems end to end — from the user experience and APIs through data retrieval, search, LLM integrations, observability, and production operations. You'll be joining a team working on problems where product quality depends not only on correctness, but also on latency, relevance, reliability, and cost at scale.
What You'll Do
Build and ship end-to-end features for PF Scout across TypeScript/Node.js backend services and React-based frontend experiences.
Own features from design through production: implementation, testing, deployment, observability, and iteration based on real user behaviour.
Work on search and data-intensive problems involving retrieval, ranking, aggregation, caching, and large property datasets.
Build and evolve AI-powered product experiences involving LLMs, tool calling, streaming, conversational state, and fallbacks.
Work closely with product managers, designers, data teams, and other engineers to turn ambiguous customer problems into simple, reliable solutions.
What We're Looking For:
Required technical skills:
4+ years of software engineering experience, with meaningful experience building production, consumer-facing applications.
Strong proficiency in TypeScript, particularly Node.js backend development using frameworks such as Express.js, NestJS, or similar.
Experience building modern frontend applications using React, Next.js, or a comparable React-based stack.
Hands-on experience with at least one search, analytics, or data-intensive system such as OpenSearch/Elasticsearch, ClickHouse, PostgreSQL, Redis, or similar, including debugging and improving query performance.
Experience owning software in production — understanding how your services behave, diagnosing issues, and improving reliability and performance.
Good understanding of software engineering fundamentals including testing, maintainability, code quality, and pragmatic system design.
Nice to have:
Experience building LLM-backed applications, including tool/function calling, streaming, structured outputs, multi-turn state, context management, or caching.
Experience with model platforms or providers such as AWS Bedrock, Google Vertex AI/Gemini, OpenAI, or similar.
Production experience with AWS and cloud-native applications, including technologies such as ECS/EKS, Lambda, SQS/SNS, CloudFront, RDS, or ElastiCache.
Experience working on marketplaces, search products, recommendation systems, or other high-scale consumer applications.
How you work:
You take ownership beyond your ticket — you notice problems, propose solutions, and follow through.
You communicate technical trade-offs clearly to both engineers and non-technical stakeholders, and back your arguments with data.
You hold a high bar in code review and design review, and you make the engineers around you better.
You're pragmatic: you know when to build for scale and when to ship the simple thing, and you can quantify the cost of both.
What Success Looks Like
Within your first couple of months, you'll independently own and ship a meaningful Scout capability end to end — from the customer experience through backend orchestration and search or AI integration — and use production data to improve it after launch.
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
Software Engineer - Full Stack at Property Finder rates 17 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How have you integrated a large language model into a production application?
- Walk me through how you've used OpenAI in your day-to-day work.
- What are the limits of Gemini that you've run into, and how did you work around them?
- What's a project where you used Bedrock hands-on?
- Walk me through how you've used Vertex AI in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: LLM Integration, OpenAI, Gemini, Bedrock, and Vertex AI. 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.
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