Full Stack AI Engineer

Our technology helps companies automatically extract data from invoices, receipts, passports, and contracts using advanced machine learning, computer vision, and LLM-based AI systems. To accelerate our product development, we are hiring 3 Full Stack AI Engineers who want to build production-grade AI applications from idea to deployment. This role is ideal for engineers who enjoy working across AI, backend systems, and product development., Most importantly, you will work on real-world AI systems used by global companies.

• Design and build end to end applications and new features that deeply embed AI - spanning backend, frontend, and AI components.
• Develop and implement AI models using frameworks such as PyTorch and/or TensorFlow.
• Take ownership from concept to production: solution design, implementation, deployment, and optimization.
• Build and maintain containerized applications using Docker.
• Implement and improve CI/CD pipelines.
• Collaborate closely with product and customer-facing teams.
• Participate in customer calls and live demonstrations, presenting technical solutions with clarity and confidence.

We look for the right work ethic, character and a genuine passion for technology. We care less about specific degrees or X years in experience.

• Proven experience building production-ready, end-to-end applications
• Strong hands-on expertise in AI/ML frameworks.
• A solution builder mindset: you see the full picture, understand business impact, and translate requirements into scalable designs.
• Deep understanding of system scalability and performance engineering.
• Practical, challenge-driven attitude: you approach technical constraints as opportunities to innovate.
• Interest in working across the tech stack, displayed below. Experience in all is not required, but a strong willingness to learn is essential.
• Strong communication skills and comfort engaging directly with customers.
• You speak English fluently, any additional language is a plus .

At Klippa - a Doxis company, we build AI systems that understand and process millions of real-world business documents.