Full-stack AI Engineer
Tasks
- Build and maintain ETL pipelines for data processing and extraction
- Collaborate with stakeholders to apply AI ML to existing systems
- Deploy monitor and maintain production AI ML systems
- Develop LLM applications using RAG
- Support back end development for AI and data features
Perks/Benefits
- Agile sessions
- Annual leave
- Coaching program
- Company trip
- Employee clubs
- English classes
- Flexible work hours
- Health insurance
- Office equipment choice
- Remote health check
- Remote work
- Sick leave days
- Social insurance
- Tech talks
- Training budget
- Unlimited snacks
Skills/Tech-stack
API Development | Agile | CNNs | Docker | Embeddings | FastAPI | LLMs | MLOps | NoSQL | NumPy | Pandas | PySpark | PyTorch | Python | RAG | SQL | Scrum | TensorFlow | Transformers
Education
N/A
Roles
AI Engineer | Engineer | Full Stack | Full Stack AI Engineer
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