Senior Data/AI Engineer
Tasks
- Apply software engineering best practices
- Build and deploy LLM applications in Python
- Build and maintain evaluation/monitoring pipelines
- Design and optimize prompts for LLMs
- Develop and maintain backend services and APIs
- Develop and maintain context management strategies
- Ensure data integrity with quality checks
- Implement data pipelines for AI systems
- Integrate agent workflows using LangGraph
- Perform prompt experiments and iterate solutions
Perks/Benefits
- Extra days of vacation
- Family-friendly benefits
- Meal contribution
- Premium medical services
- Sickness compensation plan
- Wellness and leisure time contribution
Skills/Tech-stack
Anthropic | CI/CD | Context Management | Databricks | Docker | FastAPI | Flask | Graph Databases | Graph Embeddings | GraphQL | HTTP | Java | Kafka | Knowledge Retrieval | Langgraph | Language Models | Large Language Models | Microservices | NoSQL | OpenAI | Prompt engineering | Python | RAG | REST | Retrieval-Augmented Generation | SQL | Scala | Session memory | Snowflake | Spark | Vector Search
Education
Roles
AI Engineer | Data Engineer | Engineer | Senior AI Engineer | Senior Data Engineer
Regions
Countries
States
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