You'll be a great fit if you have

• 2–5 years of experience in AI/ML engineering

• Solid Python skills and experience with key ML frameworks (PyTorch, TensorFlow, scikit-learn, etc.)

• Hands-on experience with LLMs and agentic systems (LangChain, AutoGen, ADK, etc.)

• Understanding of data engineering concepts (ETL, SQL/NoSQL, vector databases)

• Curiosity and ability to adapt quickly to new tools, frameworks, and problem domains

• Strong communication skills — able to discuss technical topics with both technical and non-technical stakeholders

• No trouble communicating in English

What you'll do

• Design and build AI/ML solutions across a range of domains (LLMs, NLP, computer vision, predictive modeling, etc.)

• Work with modern GenAI and agentic frameworks (Autogen, ADK, LangChain)

• Implement, evaluate, and fine-tune classical ML models using libraries like scikit-learn, XGBoost, or PyTorch

• Collaborate with clients to understand real business problems and translate them into scalable AI systems

• Contribute to data engineering pipelines — from ingestion and transformation to feature store management

• Deploy and monitor AI models in production (MLOps / backend integration)

• Work closely with full-stack teams to ensure seamless integration of AI components

Bonus points if you have

• Experience deploying models into production (Docker, FastAPI, Kubernetes, AWS/GCP)

• Exposure to backend or DevOps practices

• Interest in full-cycle ownership of AI systems, not just experimentation

You can expect to

• Learn from experienced designers, engineers, and data experts who love what they do

• Work on diverse, real-world challenges and projects of different scales and sizes, from early-stage to enterprise

• Choose your vibe: work from our Zagreb and Split offices, or mix the two with remote work when necessary

• Make your mark in a team that builds with care and enjoys the process

The essentials

• Flexible working hours

• Paid overtime (150%)

• 23 days of annual leave plus an extra day for every year you spend with us

• Fully covered sick leave (100%)

• And much more!