Job Summary:

Global MNC Tech is seeking a highly skilled Senior Python Engineer to join our AI-driven PropTech division. In this role, you will design, develop, and optimize cutting-edge AI solutions that power intelligent property management platforms and smart real estate applications. You will work closely with cross-functional teams, including data scientists, frontend engineers, and product managers, to deliver scalable, high-performance solutions that enhance user experience and drive business innovation.

This is a unique opportunity for a proactive engineer to contribute to both AI research and real-world property technology solutions, shaping the future of smart real estate management globally.

Key Responsibilities:

• Architect, develop, and maintain scalable Python applications for AI-driven web and PropTech platforms.

• Collaborate with data science teams to implement machine learning algorithms and predictive models.

• Optimize application performance, ensuring efficiency, scalability, and security.

• Integrate third-party APIs and services to enhance platform capabilities.

• Participate in code reviews, maintain coding standards, and mentor junior engineers.

• Troubleshoot, debug, and resolve technical issues across multiple environments.

• Stay updated on emerging AI, PropTech, and web development technologies to ensure innovation.

• Contribute to project planning, estimation, and delivery timelines.

Required Skills and Qualifications:

• Strong proficiency in Python, with hands-on experience in web frameworks such as Django, Flask, or FastAPI.

• Solid understanding of AI and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).

• Experience with RESTful API design and integration.

• Knowledge of relational and NoSQL databases (PostgreSQL, MongoDB).

• Proficient with version control systems, preferably Git.

• Strong problem-solving, analytical, and debugging skills.

• Excellent communication skills with the ability to collaborate in a global, remote team environment.

Experience:

• 5+ years of professional experience in Python development.

• Proven track record in building and deploying AI-based applications or PropTech solutions.

• Experience in cloud environments (AWS, GCP, or Azure) is highly desirable.

• Prior experience in leading or mentoring development teams is a plus.

Working Hours:

• Flexible, remote-friendly schedule.

• Availability for team meetings and stand-ups across global time zones may be required.

Knowledge, Skills, and Abilities:

• Deep understanding of software architecture principles and design patterns.

• Strong knowledge of AI/ML model deployment and monitoring in production.

• Ability to work independently while managing multiple projects simultaneously.

• Critical thinking and innovation mindset, with a focus on scalable, maintainable solutions.

• Comfortable in an agile development environment with iterative processes.

Benefits:

• Competitive global salary and performance-based bonuses.

• Flexible remote work environment with global collaboration opportunities.

• Professional development and training programs in AI and emerging technologies.

• Health, wellness, and insurance benefits (where applicable based on location).

• Opportunities to work on cutting-edge AI and PropTech projects impacting millions of users.

Why Join Global MNC Tech:

At Global MNC Tech, you will join a team of visionary engineers and innovators who are redefining the future of property technology and AI applications. You will have the autonomy to experiment, create, and influence products that make a tangible difference in the real estate industry worldwide. If you are passionate about AI, enjoy tackling complex technical challenges, and thrive in a global, remote-friendly culture, this is the ideal place for you.

How to Apply:

Interested candidates should submit their updated CV/Resume and a cover letter highlighting relevant experience in Python, AI, and PropTech to us with the subject line: Application – Senior Python Engineer – AI Website & PropTech

Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted.