AI Engineer - Backend

At Keboola, we’ve built a team culture based on learning, innovation and most importantly trust. As we’ve grown we continue to embrace the startup vibe and foster a fast-paced and challenging environment. What is unique about our company, is that everyone has a voice and is welcomed to use it. We’re global but well connected and agile. Keboola has offices and team members spanning across Europe and North America. Gartner has recognized our company as a Data Operating Systems organization.

We are looking for an experienced AI Engineer (senior or mid-senior level) who wants to make an impact in a growing SaaS-based company. You will work with a team of experienced developers, taking care of several applications and improving their speed, usability, and stability.

The team primarily communicates in Czech/Slovak, but you must be able to converse with other teams in English. For onboarding, you will receive a set of training materials and descriptions of the technologies we use and will participate in a Keboola onboarding program.

What we do and you'll do

• 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.

What do we use

• Python and frameworks/tools such as FastAPI, NumPy, and Pydantic.
• MySQL and ElasticSearch for structured data storage; Snowflake or BigQuery for big data and analytics.
• Docker for running our apps and deploying machine learning models.
• Cloud services from GCP, Azure, and AWS for AI model training and deployment.
• Terraform for managing cloud resources, including those used in machine learning workflows.
• GitHub for storing code and Azure DevOps and GitHub Actions for running our build, test, and deploy pipelines.
• OpenAPI and Apiary for API specifications, including those for AI services.
• Scrum best practices for organizing our work and managing AI project lifecycles.

What we look for and what are the skills you need to have

• 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.
• A technical understanding of AI/ML concepts and how they fit into the "big picture."




And also basic soft skills like:

• 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.

A little bit more about the opportunity

• Autonomy within your position. We are focused on outcomes, not micromanaging everything that you do. We love free company movement.
• Work with great brands both locally and worldwide. Ask us who we were working with!
• Work with new industry-leading data technologies.
• The opportunity to create the job you want that fits in with the life you want. We know there is life outside of work, and think fulfilment is achieved when all areas of your life fit together.
• We believe the best people are a bit weird and have an inner engine that drives them.
• We strive to push people for career development.

You can look forward to the following benefits

• Competitive compensation.
• Generous paid vacation time. And we mean generous.
• 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).

Keboola’s Core Values

• Care, love and respect
• No BS
• Get your stuff done and do a bit more
• Create and innovate
• Learn!
• One team

Come One, Come All 

Keboola provides equal employment opportunities to all employees, consultants, and applicants for employment. We do not discriminate on any basis. Here’s the thing: we don’t care what color you are, who you pray to, what gender you identify with, if you have tattoos or your hair is blue. We hire based on skill and culture fit. It really is that simple.

More About Keboola

Every day Keboola connects data, systems, and people to do their best work all in one place. Keboola is a hybrid, multi-cloud data platform that reduces your day-to-day complexity with data by streamlining and automating your data processes and systems, creating a scalable data structure that works best for you, and aligns business and IT in a secure environment so they can do meaningful work together. Hundreds of innovative companies use Keboola to unlock their data-driven power. The company has offices in Chicago, Vancouver, London, and Prague. For more information, connect with us on LinkedIn, Twitter, Facebook or visit keboola.com.