Job Description
We’re building AI products that move from promising prototypes to reliable, production-grade systems with measurable business impact. This role blends LLM application engineering, applied data science, and data engineering fundamentals.
You will own the end-to-end data operations lifecycle: sourcing and understanding data, designing scalable pipelines, enabling analytics and model development, and partnering with engineering and data science to productionize solutions. You will translate complex data into context for humans and AI applications, implement durable processes.
You’ll design, evaluate, deploy, and continuously improve GenAI systems (RAG, agentic workflows, model fine-tuning) while helping shape the data foundation that makes them trustworthy at scale.
**Position Responsibilities:**
+ Design, evaluate, and deploy RAG pipelines, agentic systems, and chat interfaces, including advanced retrieval methods and modular designs.
+ Conduc...
You will own the end-to-end data operations lifecycle: sourcing and understanding data, designing scalable pipelines, enabling analytics and model development, and partnering with engineering and data science to productionize solutions. You will translate complex data into context for humans and AI applications, implement durable processes.
You’ll design, evaluate, deploy, and continuously improve GenAI systems (RAG, agentic workflows, model fine-tuning) while helping shape the data foundation that makes them trustworthy at scale.
**Position Responsibilities:**
+ Design, evaluate, and deploy RAG pipelines, agentic systems, and chat interfaces, including advanced retrieval methods and modular designs.
+ Conduc...
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