Prentis AI is a current AI research lab, launched in April 2026, focused on building "computer use" models - AI trained to navigate the routine digital workflows office workers handle (documents, systems, forms), with the goal of deploying agents that automate tasks like processing insurance claims or handling customs duty refund exceptions without human intervention.
It's co-founded by serial entrepreneur Ritankar Das, alongside Reid Hoffman (LinkedIn co-founder) and Mark Pincus (Zynga founder). We are looking for a Product Engineer to bridge the gap between core AI capabilities and functional, user-facing applications.
You will work at the intersection of software engineering and artificial intelligence, transforming complex technical concepts into autonomous, agent-driven products. Rather than focusing solely on model training, your objective will be to orchestrate large language models (LLMs) to perform complex tasks, utilize external tools, and deliver seamless user experiences.
You will join a high-impact team responsible for designing, building,
and deploying AI agents that serve diverse educational and research use cases. You will work directly with researchers and data engineers to bring AI research out of the lab and into the hands of users.
Data Pipeline Engineering: Architect and maintain robust, scalable ETL/ELT data pipelines to ingest, clean, and process structured and unstructured data (including audio and text) for model fine-tuning and RAG systems.
Develop and orchestrate complex agent behaviors, including multi-step reasoning, tool integration (APIs, databases, search), and memory systems.
AI Integration: Utilize frameworks like LangChain, LlamaIndex, AutoGen, or custom orchestrators to embed AI capabilities into scalable software architectures.
User Experience: Bridge the gap between raw AI outputs and intuitive user interfaces, ensuring the product is reliable, responsive, and easy to use.
Collaboration: Work with ML researchers to leverage
📌 Constructeur/ Engineer (India)
🏢 Prentis
📍 India