Principal Data Engineer, LLM/AI Platforms (Remote)
Tasks
- Architect data platforms and pipelines for LLMs and RAG
- Collaborate with data science and product teams to productionize prototypes
- Deploy agentic workflows and agent harnessing solutions
- Establish MLOps and DataOps best practices for LLM services
- Implement scalable fault tolerant cost effective data solutions
- Lead data modeling normalization and semantic cataloging for AI ML
- Mentor engineers lead workshops and conduct design reviews
- Monitor and observe AI services and enable zero touch recovery
- Own end to end lifecycle of data services
- Write production ready code with performance and testing rigor
Perks/Benefits
- Employee networks
- Great Place to Work certification
- Mental wellness programs
- Paid adoption leave
- Paid parental leave
- Paid time off
- Physical wellness programs
- Professional development opportunities
- Remote work
- Volunteer opportunities
Skills/Tech-stack
AWS | Amazon SageMaker | Apache Airflow | Apache Flink | Apache Spark | BigQuery | Cloud infrastructure | Dask | Data Modeling | Data Normalization | DataOps | Docker | Fine Tuning | Google Cloud | Java | Java Virtual Machine | Kafka | Kubeflow | Kubernetes | Langchain | Llamaindex | MLOps | MLflow | Monitoring | Observability | Oracle Cloud | Oracle Cloud Infrastructure | Prompt engineering | Pulsar | PySpark | Python | Retrieval-Augmented Generation | Semantic Cataloging | Snowflake | Vertex AI | Virtual machine
Education
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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