AI Engineer
Kraków, Województwo małopolskie, Poland
PLN 272K-400K (estimate) Senior-level Full Time
Tasks
- Analyze AI trends
- Automate document processing
- Build AI applications
- Build LLM architectures
- Classify documents
- Collaborate with developers and business
- Conduct AI research experiments
- Create data processing pipelines
- Create embeddings
- Create prompts
- Deploy deep learning models
- Design data indexing pipelines
- Develop machine learning models
- Evaluate LLM output quality
- Implement ML best practices
- Implement MLOps best practices
- Implement agentic retrieval augmented generation
- Implement chunking
- Implement data engineering best practices
- Implement function calling
- Implement retrieval-augmented generation
- Implement vectorization
- Integrate models with production apps
- Integrate vector databases
- Integrate with external services
- Maintain technical documentation
- Mentor junior engineers
- Optimize LLM behavior
- Report research results
Perks/Benefits
- Conference participation
- English classes
- Hybrid work model
- Integration events
- Life insurance eligibility
- Lunches at office
- Medical insurance funding
- MultiSport Benefit funding
- Relocation package
- Running training
Skills/Tech-stack
AI Pipelines | AWS | Agentic RAG | Airflow | Automatic testing | CI/CD | Chunking | Data Processing | Docker | Embeddings | Evaluation Frameworks | Explainable AI | Function Calling | GCP | Git | JSON | Kubeflow | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLOps | MLflow | Microservices | Model Context Protocol | OCR | Pinecone | Prompt engineering | PyTorch | Pydantic | Python | Qdrant | REST | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Vector Databases | Vectorization | Vertex AI | Vertex AI pipelines | Vertex Pipelines | Weaviate | XAI
Education
N/A
Roles
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