Senior LLM / RAG Engineer
Tasks
- Build data ingest pipelines using Python and AWS
- Collaborate with analysts to iterate prototypes
- Deploy and manage containerized services
- Develop LLM embedding pipelines
- Develop mission focused UIs with Streamlit
- Ensure security and compliance guidelines
- Extend RAG prototypes with new datasets
- Implement vector search with vector databases
- Maintain RAG prototypes
- Operate GPU inference workloads
- Operationalize LLM capabilities with RAG tooling
- Write technical documentation for deployments and APIs
Perks/Benefits
Skills/Tech-stack
AWS EC2 | AWS IAM | AWS S3 | CI/CD | Docker | Embeddings | GPU Inference | Git | Hugging Face | Jenkins | Kubernetes | LLM | Linux | Llamaindex | Model Serving | Python | Ray Serve | SGLang | Streamlit | Vector Databases | Vector Search
Education
Roles
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