Job Description

Roles & Responsibilities

Develop Agents and Multi-agent systems:

Design and implement AI agent and extend existing agents with new capabilities. This includes managing the agent's context (using techniques like sub-agents, retrieval based context management, sliding context windows, etc.).

Develop Tools for agents:

Develop complex tools for agents like computer use, browser use, etc.

Multi-agent orchestration and tool calling:

Research and develop systems on how agents should collaborate, and how agents should call tools.

Full stack development:

Build and maintain production-grade APIs and AI-powered features, from backend services to user-facing experiences.

Evaluate and improve:

Evaluate AI's performance using evaluations and tests to then iterate on prompts, agent tools and agents orchestration to improve output quality and reliability.

Requirements:

Proven staff-level experience in full-stack software development, ideally developing practical and production-ready AI applications or features that utilize Gen AI/ LLMs / RAG (3+ years). Strong programming skills in Python and Javascript, including experience using AI-assisted coding tools. Deep understanding of foundational models, prompt engineering, and fine-tuning techniques. Understanding of software design, service architecture, and scalable systems. Passion for building AI-enhanced user experiences, not just theoretical ML solutions. Prior start-up or tech company experience is a plus--especially where you've worn multiple hats or shaped early products. Bonus: Side projects or open-source contributions involving building AI agents, RAG pipelines, or open-source LLM tooling.

Skills required:

Python

- automation, AI logic, scripting

Node.js

- backend APIs & integrations

React / Next.js

- front-end dashboards & AI interfaces

SQL / MongoDB

- data storage & retrieval

AI & Automation

Prompt engineering

- working with LLMs

Machine Learning basics

- using pretrained models

APIs / Webhooks / JSON

- system connectivity

Workflow tools

- Zapier, Make.com, n8n

Cloud AI

- AWS, Azure, or GCP (Vertex AI)

DevOps & Infra

Git / GitHub

- version control

Docker

- containerising automations

ETL / Data pipelines

- automating data movement
Job Types: Full-time, Permanent

Pay: ₹40,000.00 - ₹90,000.00 per month

Benefits:

Paid time off Work from home
Work Location: Remote