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 solid software engineering, AI/LLM expertise, data engineering, and product thinking, with the ability to take an AI concept from prototype to production.

Skills:- Retrieval Augmented Generation (RAG), REST APIs, LangGraph, LangChain and NextJs (Next.js)

📌 Product Engineer Bengaluru
🏢 Prentis
📍 Bengaluru