Keboola is hiring a
AI Engineer

Summary

Keboola is seeking an experienced AI Engineer to work on a team of developers in a fast-paced environment. The engineer will improve, maintain, and extend existing AI features, design new ones, develop, train, optimize, and fine-tune machine learning models, and provide code reviews. The role requires 3+ years of experience as a Python engineer with a focus on AI/ML, familiarity with large codebases, and expertise in NLP and related techniques.

Requirements

• 3+ years of experience as a Python engineer with a focus on AI/ML, running production services
• Experience with machine learning concepts, including model development, training, deployment, and monitoring
• Familiarity with large codebases and experience with refactoring
• Ability to build and deploy AI models as web services (REST or GraphQL APIs)
• Experience in fine-tuning large language models (LLMs) for specific tasks and domains
• Expertise in Natural Language Processing (NLP) and related techniques
• Expertise in prompt engineering and Retrieval-Augmented Generation (RAG) techniques
• Understanding of best practices for AI and machine learning in production environments (e.g., model versioning, performance optimization)
• Awareness of Twelve-Factor App principles and how they apply to AI and machine learning services

Responsibilities

• Improve, maintain, and extend our existing AI and machine learning features
• Brainstorm and design new AI-driven features in collaboration with our product team
• Develop, train, optimize, and fine-tune machine learning models, including large language models (LLMs)
• Enhance the quality of our AI pipelines and codebase
• Test machine learning models and code
• Provide code reviews for other team members
• Actively participate in the design of AI-related technical features (participate in design documentation and RFCs)
• Share knowledge and experience in AI technologies and techniques with individuals outside your team
• Assist your closest peers in understanding and implementing AI best practices

Preferred Qualifications

• An orientation towards results, and the drive to complete a task from beginning to end, especially in the iterative process of AI development; a willingness to take ownership
• Patience and a keen eye for details, particularly when it comes to data quality and model performance
• Being a bug hunter, especially in identifying and resolving issues in data and model behavior, but knowing when refinement is sufficient
• A readiness to ask for help, especially when faced with complex machine learning challenges
• A team player, with a strong emphasis on collaboration in developing AI solutions
• Self-organization and self-discipline, crucial for managing multiple aspects of AI projects
• Effective problem management, especially when troubleshooting model performance or data issues

Benefits

• Competitive compensation
• Generous paid vacation time
• Cool new offices in the heart of Holesovice in Prague
• We are a company born in the cloud means we are relatively location independent. Want to take an extra-long trip while working on the beach (or forest, or desert?), go ahead - make sure to send us a postcard
• No set office hours and flexibility (aside from when you are placed on-call to support customers)