Lead Data/AI Engineer
Tasks
- Architect enterprise AI systems
- Build LLM applications with Python
- Build data pipelines for context driven solutions
- Create backend services and APIs for AI apps
- Deploy and optimize scalable AI systems on cloud
- Design prompt strategies for LLMs
- Develop multi-agent workflows with LangGraph
- Ensure data quality and integrity
- Implement context management for agents
- Implement testing monitoring and evaluation for LLMs
- Integrate retrieval-augmented generation pipelines
Perks/Benefits
- Extra days of vacation
- Family-friendly benefits
- Hybrid work flexibility
- Meal contribution
- Premium medical services
- Sickness compensation plan
- Wellness and leisure time contribution
Skills/Tech-stack
A/B | A/B Testing | Apache Kafka | Apache Spark | B testing | CI/CD | CatBoost | Databricks | Docker | FastAPI | Flask | GraphQL | Java | Langgraph | Language Models | Large Language Models | LightGBM | Machine Learning | Microservices | Model Evaluation | Monitoring | NoSQL | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | SQL | Scala | Scikit-learn | Session management | Session memory | Snowflake | Vector Search | Vector embeddings | XGBoost
Education
Roles
AI | AI Engineer | Data Engineer | Engineer
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