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We are seeking a Senior AI Applications Engineer (Full Stack) to lead the development of cutting-edge AI-powered applications. In this role, you’ll work across the stack—building robust Python-based backends, developing intuitive frontends in React, and architecting scalable systems that handle high-throughput data and real-time AI model integration. This is a hands-on technical lead position for someone passionate about building production-ready AI products that are fast, secure, and user-friendly.
Job Responsibility:
Design and develop full stack AI applications, integrating powerful AI models with seamless front-end user experiences
Build scalable, production-grade backend services and REST APIs using Python
Develop clean, performant, and reusable React.js components for modern web interfaces
Architect efficient and secure data workflows, leveraging PostgreSQL for transactional data and ClickHouse for analytics and high-performance querying
Collaborate closely with AI/ML engineers, product managers, and DevOps to bring models to life in real-world applications
Lead architecture discussions and set engineering best practices across the stack
Optimize application performance, scalability, and reliability across backend and frontend systems
Mentor junior developers and contribute to a culture of engineering excellence
Requirements:
Bachelor's degree in Computer Science, related field, or equivalent practical experience
5+ years of professional software development experience, with significant exposure to both frontend and backend technologies
Expertise in Python, with a strong understanding of building APIs, microservices, and data pipelines
Proven experience developing production-ready frontend applications using React.js (or similar frameworks)
Deep knowledge of REST API design and integration patterns
Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases
Familiarity with integrating AI/ML models into applications (directly or via APIs)
Strong understanding of software architecture, scalability, security, and system design
Excellent verbal and written communication skills
Strong sense of ownership, accountability, and leadership
Passion for AI and delivering impactful, data-driven software solutions
Comfortable working in a fast-paced, collaborative, and iterative environment
Willingness to mentor others and help raise the overall bar for engineering quality
Nice to have:
Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus
What we offer:
vibrant and dynamic work environment
multitude of benefits they can enjoy inside and outside of their work lives