What are the responsibilities and job description for the GenAI Data Engineer position at Jobs via Dice?
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Required Skills & Qualifications Core GenAI Skills
Required Skills & Qualifications Core GenAI Skills
- Hands-on experience with Generative AI / LLM-based systems in production.
- Strong experience with Model Context Protocol (MCP) for tool and data orchestration.
- Proven experience designing and implementing RAG architectures.
- Expertise in prompt design, context management, and retrieval strategies. Data Movement & Platform Skills
- Experience building generic utilities for data ingestion, transformation, and retrieval.
- Strong understanding of unstructured data handling (documents, logs, text, metadata).
- Familiarity with vector databases and embedding workflows.
- Experience designing scalable, reusable platform-level components. API & Software Engineering
- Strong experience designing and implementing RESTful APIs.
- Proficiency in one or more backend languages (Java, Python, or similar).
- Experience with asynchronous processing and event-driven systems.
- Strong understanding of distributed systems and scalability patterns.
- Experience building enterprise GenAI platforms or internal tooling.
- Familiarity with agent-based architectures and AI workflows.
- Experience integrating GenAI systems with data platforms and enterprise systems.
- Knowledge of cloud-native architectures (AWS, Azure, or Google Cloud Platform).
- Experience with containerization and CI/CD pipelines.
- Strong focus on responsible AI, governance, and compliance.