Senior Data Engineer (Agentic AI / RAG Platform)
TechDigital Corporation
Dearborn, MI, United States
5 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Microsoft Azure
Data as a Services
Information Engineering
Data Stores
Data Systems
Information Retrieval
Python (Programming Language)
Metadata
OpenAI
Cloud Services
Search Technologies
+10 more
SQL Databases
Technical Data Management Systems
Retrieval-Augmented Generation
Prompt Engineering
Apache Spark
Generative AI
Agentic-AI
Integration Frameworks
Model Context Protocol
Data Pipelines
Job description
- 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.
Requirements
- 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.
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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
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