AI Data Engineer

Job Description:

• Primary: AI/agent engineering capability and skillset
• 2+ years hands-on AI engineering experience
• Strong evidence in Agentic AI, LLMs, prompting, and RAG
• Production implementation evidence in Python, APIs, cloud, and security
• At least one complete solution covering retrieval, tool execution, evaluation, deployment, and monitoring
• Primary AI development experience and skillset of “2+ years” applies to the AI discipline broadly—not independently to every AI competency because Agentic AI development the way it exists currently is anyway last 2+ years. The rest should be "preferred" as in JD.
• Solid data background in data engineering, management, ingestion, and delivery. These should be considered valuable differentiators
• Broader background preference: Data platforms, BI, banking, and reporting