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Prentis

Product Engineer

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Product Engineer — Role Summary

We are looking for a Product Engineer to build user-facing products that combine AI capabilities with practical applications. You will work at the intersection of software engineering and AI, developing autonomous, agent-driven systems that solve complex educational and research problems.

Key Responsibilities:

Product Development: Design, build, and deploy production-ready applications powered by LLMs and AI agents. Data Engineering: Build scalable ETL/ELT pipelines to process structured and unstructured data, including text and audio, for RAG and model fine-tuning. Agentic Workflows: Develop multi-step AI agents with tool calling, APIs, databases, search, reasoning, and memory. Rapid Prototyping: Turn ideas and research concepts into interactive, production-ready applications. AI Integration: Use frameworks such as LangChain, LlamaIndex, AutoGen, or custom orchestrators to integrate AI into scalable systems. User Experience: Transform raw AI outputs into reliable, intuitive, and responsive user experiences. Collaboration: Work closely with ML researchers and data engineers to integrate custom and fine-tuned models. Observability: Monitor agent behavior, manage edge cases, reduce hallucinations, and improve reliability in production. The ideal candidate combines strong software engineering, AI/LLM expertise, data engineering, and product thinking, with the ability to take an AI concept from prototype to production.

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