We are looking for a Full Stack Engineer to join our team at ORIL. This is an opportunity to work on a sophisticated PropTech / MarTech platform that is currently reshaping how the real estate industry handles data. If you enjoy a high-tempo environment, love working with AI, and want to see your code make a direct impact on business decisions, this is for you.
About the Project
Our client is a US-based innovator providing a centralized data platform for multi-family real estate. The product uses BI and AI analytics to help operators optimize marketing spend and operational efficiency.
Tech Stack: Ruby on Rails, React, PostgreSQL, AI/LLM integrations, AWS.
What are we looking for?
3+ years of experience in Full Stack development using Ruby on Rails and React;
Proactive Delivery: You are comfortable with a fast development pace. You don’t wait for detailed instructions on every edge case—you think ahead and deliver ready-to-use features;
Technical Independence: You can take a high-level requirement and turn it into a working feature (from DB schema to UI) without constant supervision;
Problem-Solving: You focus on making things work efficiently and aren’t afraid to dig into complex data or scraping logic;
Communication: Ability to discuss technical solutions directly with the team and the client;
English level: Upper-Intermediate (B2).
Nice to have:
Experience in PropTech or fast-growing SaaS startups;
Experience with web scraping or complex data ingestion;
Familiarity with AI/LLM integrations (OpenAI API, etc.).
What will you do?
Develop and maintain features across the full stack (RoR + React);
Build and optimize integrations with external property management and marketing tools;
Work on the AI assistant’s backend logic and its UI representation;
Help the team maintain a high tempo while keeping the code clean and scalable;
Collaborate with the Lead dev and PM to refine the technical roadmap.
We offer:
Competitive compensation;
Flexibility to work from anywhere (fully remotely or in our office in Lviv);
Accounting Support Services;
Education budget + corporate education events/trainings;
Compensation for certifications, fitness, or therapy sessions;
A dynamic environment where your proactivity is recognized and rewarded.
Application Process:
Initial Screening: Call with Recruiter.
Technical Interview.
Client Interview.
Ready to build the future of Real Estate AI? Apply now and let’s get to work!
