Mid-Level AI / ML Engineer (Data Scientist Background)

To be leaders in digital modernization by helping companies embrace latest cutting edge technologies to optimize their business with the help of our talented experts.

🚀 AI / ML Engineer (Data Scientist Background)

Location :   Poland, Bulgaria, Romania, Serbia, Albania, Macedonia, Montenegro (Remote)

Contract : B2B, Full-Time

Join the Future of Digital Tech with Kolomolo

At Kolomolo , we don’t just follow trends - we set them. As a global supplier of IT services and digital modernization solutions, we help businesses embrace cutting-edge technology to optimize their operations. Now, we are growing and looking for fresh talent to grow with us.

Are you proactive, tech-savvy, and eager to build your career in IT? This role could be your perfect fit.

About the Role

We are seeking two highly motivated AI / ML Engineers with a strong foundation in Data Science and a deep expertise in Generative AI . You will work on building advanced AI-driven solutions, designing modular retrieval-augmented generation (RAG) architectures, and implementing intelligent agentic systems. The ideal candidate will have a strong foundation in mathematics, statistics, and machine learning, with hands-on experience in both research and production-grade AI engineering.

What You’ll Be Doing

• Generative AI Systems Development : Lead the design and implementation of modular RAG systems, integrating LLMs with structured data sources to enhance information retrieval and decision-making processes.
• Agentic Systems Engineering : Develop intelligent agents capable of autonomous task execution, leveraging agentic design patterns to adapt to complex environments.
• Build and maintain knowledge graphs using graph databases like Neo4j, leveraging Cypher or Gremlin for queries.
• Process large-scale structured and unstructured data into graph databases using ETL pipelines.
• Develop and implement graph-based AI systems to convert natural language queries into graph structures and vice versa.
• Design and deploy modular RAG systems with the use of MCP and intelligent agents.
• Apply agentic design patterns to enable autonomous task execution in AI systems.
• Implement context engineering and prompt engineering techniques to optimize AI performance.
• Collaborate with cross-functional teams to integrate AI models into scalable microservices.
• Learn and apply AWS Bedrock and SageMaker for training, fine-tuning, and deploying machine learning models.
• Work on small-scale optimization models for predictive analytics and operational efficiency.

What We Are Looking For

Nice to Have

What is in It for You

🌟 Why Join Kolomolo?

At Kolomolo , we prioritize innovation, agility, and autonomy. Our teams have the freedom to own their work, share ideas, and make meaningful contributions. Inspired by Scandinavian values , we believe in work-life harmony and creating an inclusive culture where everyone thrives.

You will be part of a passionate, skilled, and friendly team that works hard and celebrates together. Here, you can build your career on your own terms, with opportunities to grow, learn, and make a real impact.

Our Flat Structure & The Culture of Inclusion

At Kolomolo, we break the corporate mold. We offer :

Join Kolomolo and elevate your career with cutting-edge technology, a supportive team, and a company that truly values your input.

Ready for the next step? Apply now and start an exciting journey of growth and innovation with us!