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Prentis
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AI research lab focused on computer use models

Product Engineer

Posted: 3 weeks ago
Job Location
Remote Work Policy

Onsite or remote

Hires remotely in
Visa Sponsorship

Not Available

Preferred Timezones
Eastern Time
RelocationAllowed
Skills
Data Analysis
Rapid Prototyping
Product Development
APIs
ETL/ELT
LangChain
AutoGen
LLM Frameworks (Langchain, Claude, LLamaIndex) RAG Technologies Embedding Models Vect

About the job

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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