Senior Prompt Engineer designing AI systems and LLM pipelines to integrate into products at HyperFi. Collaborating with engineers to construct RAG systems and improve workflows.
Responsibilities
Build agentic LLM pipelines using LangChain, LangGraph, and LangSmith
Design and iterate on prompt strategies, with a focus on consistency and context
Construct retrieval-augmented generation (RAG) systems from scratch
Own orchestration of PySpark and Databricks workflows to prepare inputs and track outputs
Instrument evaluation metrics and telemetry to guide prompt evolution
Work alongside product, frontend, and backend engineers to tightly integrate AI into user-facing flows
Requirements
5–7 years building production-grade ML, data, or AI systems
Strong grasp of prompt engineering, context construction, and retrieval design
Comfortable working in LangChain and building agents, not just chains
Experience with PySpark and Databricks to handle real-world data scale
Ability to write testable, maintainable Python with clear structure
Understanding of model evaluation, observability, and feedback loops
Excited to push from prototype → production → iteration
Confident English skills to collaborate clearly and effectively with teammates
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