Fullstack Software Engineer - Business Solutions

This role sits at the intersection of full-stack engineering and applied AI, where you will design and deliver business-focused applications powered by advanced data and machine learning capabilities. You will contribute to building intuitive, user-centric interfaces that make complex enterprise data accessible and actionable for end users. Working within a highly collaborative environment, you will partner with data scientists, engineers, and industry experts to transform real-world business needs into scalable digital solutions. The position spans the full product lifecycle, from proof of concept to production deployment, with a strong emphasis on quality, scalability, and user experience. You will also help evolve internal frameworks and contribute to technical best practices across teams. This is a highly impactful role where engineering directly enables enterprise adoption of AI-driven workflows across multiple industries. Accountabilities:

• Design, develop, and deploy full-stack AI-powered applications combining backend data/AI capabilities with intuitive front-end user interfaces.
• Collaborate closely with data scientists, solution engineers, and industry experts to define requirements and deliver tailored enterprise solutions.
• Build user-centric applications that enable business users to explore and interact with large-scale datasets efficiently and intuitively.
• Own the end-to-end application lifecycle, from prototype (PoC) to production, ensuring scalability, reliability, and maintainability.
• Contribute to backend and frontend architecture decisions and help improve shared frameworks and reusable components.
• Work across teams to promote best practices, support knowledge sharing, and enable autonomy for internal and customer-facing users.
• Participate in mentoring, onboarding, and recruitment processes to strengthen team growth and culture.

• Strong experience in full-stack software development, including delivering applications from PoC to production.
• Proficiency in modern front-end frameworks such as Vue.js, React, or Angular, with a strong focus on user experience.
• Solid backend development skills, particularly in Python (FastAPI, Flask, or similar frameworks).
• Strong understanding of RESTful APIs and building scalable, data-driven applications.
• Experience working with data-intensive systems or analytics platforms is highly valued.
• Customer-oriented mindset with the ability to translate business needs into technical solutions.
• Strong curiosity, adaptability, and motivation to work with cutting-edge AI and data technologies.
• Passion for building high-performance, user-centric applications that solve real-world problems.

• Opportunity to work on cutting-edge AI and data-driven enterprise applications.
• Exposure to a wide range of modern technologies, including AI, LLMs, and scalable cloud architectures.
• Collaborative and international engineering environment with strong knowledge sharing.
• End-to-end ownership of impactful projects from concept to production.
• Continuous learning opportunities and involvement in technical innovation initiatives.
• Inclusive, diverse, and growth-oriented workplace culture.
• Strong focus on engineering excellence and open-source contribution mindset.