AI Senior Engineer (26AIE01ES)
Tasks
- Build and maintain AI agents
- Build and maintain AI data pipelines
- Deploy and monitor LLM based services
- Design and manage text embeddings and vector stores
- Develop MCP servers and Databricks applications
- Implement LLM scorers and guardrails
- Implement REST APIs and model serving
- Optimize prompts and pipeline performance
- Own end-to-end delivery of AI solutions
Perks/Benefits
Skills/Tech-stack
AWS | Apache Spark | CI/CD | Chroma | Databricks | Delta Lake | Docker | Faiss | LLM | Langchain | Langgraph | Llamaindex | MCP | MLflow | Pinecone | Python | RAG | REST APIs | Retrieval-Augmented Generation | Serverless | Text Embeddings | Vector Databases | Weaviate
Education
N/A
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