Data Engineering Lead
ArineFull Time
Expert & Leadership (9+ years)
Candidates should have proven success delivering AI-powered data systems in production, with hands-on experience in LLMs and prompt engineering. A strong foundation in modern data engineering, including expertise in Python, SQL, and platforms like Snowflake, is essential. The ability to design scalable agentic orchestration frameworks and excellent communication skills for stakeholder alignment are also required. A growth mindset focused on learning, iterating, and delivering measurable outcomes through applied AI is preferred.
The Lead AI Data Engineer will design and implement scalable agentic frameworks, build and optimize natural language query systems, and develop frameworks for evaluating prompts and LLMs. They will partner with data engineering peers to integrate AI orchestration with existing pipelines and contribute to AI-powered summarization and explanation tools. Collaboration with product, analytics, and business teams to ensure AI solutions align with business goals is also a key responsibility.
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