Application instructions:

Interested applicants, please apply for this job at this link: https://grnh.se/c4y6vfjz2us

Responsibilities

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.

• 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

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, related field, or equivalent practical experience. We value both traditional education and self-taught expertise.

• 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.

• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.

Soft Skills / Personal Characteristics

• Excellent verbal and written communication skills able to clearly articulate technical ideas and trade-offs.

• 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.