AI Engineer

As an AI Engineer, you will directly collaborate with the Kaggle GM team to bootstrap the development and deployment of transformative AI solutions from concept to market. In this role, you will collaborate on the end-to-end pipeline-data engineering, model development, backend and frontend, system integration, and scalable deployment. You know how to quickly adopt new technologies and utilize modern tooling for development. Preferred location Europe, DACH highly preferred.

What You Will Do

• End-to-End Development: Collaborate on the design, development, and implementation of AI applications across the full stack, ensuring seamless integration between frontend, backend, and AI components.
• API and Backend Development: Create robust backend services and APIs to support AI functionalities, enabling efficient data flow and integration.
• Frontend Development: Develop intuitive user interfaces that provide exceptional user experiences, turning complex AI functionalities into user-friendly applications.
• Deployment and Scaling: Deploy AI models and applications using cloud platforms, ensuring scalability, reliability, and performance in production environments.
• Tool Utilization: Leverage advanced development tools and AI-assisted coding platforms to enhance productivity and code quality.

• Bachelor’s, Master’s or PhD degree in Computer Science, Engineering, or a related field preferred, but not mandatory
• Proven experience as a Full Stack Engineer or similar role in software development
• Hands-on experience in data engineering, machine learning model development, and full-stack application development
• Contribution on open source projects
• Public track record of AI experience

Technical Skills:

• Programming Languages: Core proficiency in Python, some experience in JavaScript expected.
• AI/ML Frameworks: Proficient in PyTorch, Basic understanding of how to fine-tune deep learning models focusing on LLMs.
• Backend: Python, FastAPI, SQL/NoSQL/S3.
• Frontend: Experience with frontend frameworks such as React and NextJS.
• Deployment: Docker, Kubernetes, CI/CD pipelines, Experience with cloud services, deploying LLMs efficiently.
• GenAI tools: OpenAI API endpoints, agents, and integration into applications.
• Tools: Ability to utilize AI-assisted coding tools and platforms to accelerate development.
• Problem-Solving: Excellent analytical and problem-solving skills with a keen attention to detail. Can quickly adopt new technologies.

How to Stand Out From the Crowd

• Innovative Projects: Demonstrated experience in bringing AI solutions from concept to market, with a portfolio showcasing successful projects.
• Advanced Knowledge: Expertise in advanced Deep Learning topics, prime focus on Natural Language Processing.
• Open Source Contributions: Active participation in the AI and software development community through contributions to open-source projects.
• Creativity and Passion: A demonstrated passion for innovation, with the ability to think outside the box and propose creative solutions to complex problems.
• Adaptability: Comfortable working in a fast-paced environment with a willingness to embrace new technologies and methodologies., Analysis Skills, Application Integration, Application Programming Interface (API), Artificial Intelligence (AI), Bootstrap, Cloud Applications, Cloud Computing, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Modeling, Data Science, Deep Learning, Detail Oriented, Docker, Government, Insurance, JavaScript, Leading Edge Technology, Machine Learning, Machine Tool, National Institutes of Health (NIH), Natural Language Processing (NLP), NoSQL, Open Source, Privacy Controls, Problem Solving Skills, Production Systems, Programming Languages, Programming Tools, Python Programming/Scripting Language, React.js, SQL (Structured Query Language), Software Development, System Integration (SI), Systems Scalability, User Interface/Experience (UI/UX)

H2O.ai is on a mission to democratize AI for Good. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control.

Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH., Why H2O.ai?

• Market Leader in Total Rewards
• Remote-Friendly Culture
• Flexible working environment
• Be part of a world-class team
• Career Growth

H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.

H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.

H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose.