Data Engineer AI Java/Python/Spark
Tasks
- Build cloud native services and platforms
- Build distributed processing systems
- Deploy and operate containerized workloads
- Design and implement data pipelines
- Design reusable libraries and frameworks
- Develop and deploy LLM-based applications
- Develop production-ready software
- Establish testing observability reliability and deployment best practices
- Implement LLM orchestration and agent workflows
- Optimize distributed data processing workloads
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | APIs | Amazon Web Services | Apache Spark | Automated testing | Azure | CI/CD | Cloud platform | Databricks | Delta Lake | Distributed Systems | Docker | Google Cloud | Google Cloud Platform | Java | Kafka | Kubernetes | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | Observability | Python | Retrieval-Augmented Generation | Snowflake | Vector Search | Web Services
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | GenAI Engineer | Lead | Lead Data | Lead Data Engineer | Senior Data Engineer | Senior Software Engineer | Software Engineer
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