We’re looking for an MLOps Engineer to join our DevOps team and take part in building a new Software Factory designed to support developers and engineering managers by automating software development, testing, deployment, and system update processes.

This is an early-stage project with existing CI processes, combining hands-on AI development with

the implementation and deployment of solutions in Air-Gapped environments.

What you’ll do:

• Develop and implement AI solutions and RAG pipelines using Python

• Integrate LLMs and Vector Databases into the platform

• Build AI capabilities to support and automate software development processes

• Deploy and operate solutions in Air-Gapped environments, including managing dependencies for offline environments

• Integrate AI solutions into CI, automated testing, and deployment processes

• Independently drive technical tasks and solve challenges throughout the project lifecycle

What we’re looking for:

• Hands-on experience developing AI / Machine Learning solutions, or DevOps experience combined with Machine Learning

• B.Sc. in Computer Science

• Proven experience deploying and running solutions in Air-Gapped environments without internet access, including CI processes in a local environment – Must

• At least one hands-on AI project, whether professional, academic, or personal

• Practical understanding of RAG, information enrichment, and Vector Databases

• Strong Python skills and the ability to develop solutions beyond prompt engineering

• Independent, proactive, and comfortable working in an early-stage project environment

Nice to have:

• Experience with LangChain

• Experience with CI/CD and AI solution deployment

Early-career candidates are welcome to apply!

If you have a strong personal or academic AI project and meet the core requirements, we’d love to hear from you.