Senior Data Engineer (Agentic AI / RAG Platform)

Key Responsibilities
Integrate structured and unstructured data sources into VESSEL.
Design and implement data ingestion pipelines.
Create vectorized data repositories for AI applications.
Develop semantic search and knowledge retrieval frameworks.
Build data services supporting AI agents and prompt engineering.
Design scalable cloud-native data platforms.
Optimize data quality, governance, and performance.
Required Skills
10+ years of experience in Data Engineering.
Strong expertise in Python, Spark, SQL, and data processing frameworks.
Experience building cloud-native data pipelines.
Deep understanding of vector databases and embeddings.
Experience with Retrieval-Augmented Generation (RAG).
Knowledge of Agentic AI architectures.
Experience designing metadata-driven data solutions.
Preferred Skills
Experience with Azure OpenAI, Vertex AI, LangChain, or similar frameworks.
Knowledge of MCP (Model Context Protocol).
Automotive, engineering, or manufacturing data experience
Top Skills:
Data Engineering
Python, Spark, SQL, and data processing frameworks
Agentic AI, RAG