Location: BLR

Compensation: upto 24-48LPA

Note: Please refrain from using AI to write your responses- we’ll be able to tell. We value authenticity over polish, so write like yourself, even if it’s a bit rough and has typos or grammatical errors. There’s a high chance your application will be rejected if it’s AI-generated, even if your profile is genuinely strong.

About Libra AI

Libra AI is building the AI Operating System for Work- a unified, agentic layer that connects tools, understands context, and executes tasks autonomously.

Backed by a $1M pre-seed round, we’re building a small, high-agency team to define a new category.

Role Overview

We’re hiring an AI Engineer to build and scale our core LLM-powered systems.

You’ll work on agents, RAG pipelines, and orchestration systems, and help turn cutting-edge AI ideas into production-ready features.

This is a hands-on role with high ownership and fast execution.

Responsibilities

Build and ship LLM-powered features (agents, copilots, workflows)
Design and implement RAG pipelines (retrieval, chunking, ranking)
Work on prompting, evaluation, and optimization of LLM outputs
Integrate external tools/APIs (Google Drive, Slack, etc.)
Improve latency, cost, and reliability of AI systems
Collaborate closely with product and engineering to ship fast

Requirements

1-4 years of engineering experience
Strong experience with LLMs / AI tools (must-have)
Solid backend skills (Python or Node.js)
Familiarity with APIs, databases, and system design basics
High ownership and ability to move fast

Nice to Have

Experience with RAG / vector databases
Built AI side projects or shipped AI features
Experience with tools like LangChain, LlamaIndex, etc.
Startup or 0 → 1 experience

Why This Role

Work on cutting-edge agentic AI systems
High ownership and fast growth
Direct exposure to founders
Opportunity to build something category-defining