Full Stack Engineer (Agentic AI & Autonomous Systems)

JobItUs

New Delhi

On-site

INR 1,800,000 - 2,400,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Foundational impact

Senior, autonomous team culture

Job summary

Evernine Brands (EBPL) is seeking a highly skilled and self-directed Full Stack Engineer with a deep specialization in Agentic AI to join our engineering team in our Delhi office. In this role, you will bridge the gap between robust, production-grade full-stack software engineering and cutting-edge cognitive systems.

You will be responsible for designing and deploying end-to-end user interfaces, building resilient Python-based back-end APIs, and orchestrating complex, autonomous multi-agent

Qualifications

Agentic / AI Platform Experience: hands-on production-level AI agents, autonomous agents, or multi-agent systems.
Experience with frameworks like LangChain, LangGraph, CrewAI, or AutoGPT.
2+ years building production web applications across the full stack.
Strong React with TypeScript, hooks, and REST API consumption.
Strong Python backend development with FastAPI / Django / Flask.
Solid PostgreSQL/SQL skills and relational data modeling.
LLM integration using OpenAI/Anthropic/Gemini APIs with prompt engineering.
REST API design, webhooks, and multi-tenant authorization.
DevOps basics: Git, CI/CD, and cloud deployment (GCP preferred).
Knowledge of MCP (Model Context Protocol) is a plus.
Startup mindset and ability to ship features rapidly.

Responsibilities

Front-End Execution: build new pages and flows in React + TypeScript and ship into core app.
Back-End Engineering: develop and maintain Python APIs and services.
Database Design: design PostgreSQL schemas for new features.
AI Feature Engineering: build LLM-powered features and automations.
Agentic Orchestration: create agent-based workflows with autonomous agents and review steps.
Third-Party Integrations: connect platform to CRMs, ad platforms, email/SMS, analytics via REST/webhooks.
Systems Quality: ensure testing, error handling, monitoring, and code reviews.
Systems Redundancy: provide frontend, backend, and AI coverage for redundancy.

Skills

React

TypeScript

Python

LLM integration

REST APIs

PostgreSQL

Agentic AI

Full-Stack

Frontend architecture

AI agents

Tools

LangChain

LangGraph

CrewAI

AutoGPT

FastAPI

Django/Flask

Google Agent Studio / Vertex / Gemini

Job description

About the Role

Evernine Brands (EBPL) is building an AI-native marketing intelligence platform. We are a small, fast-moving engineering team. You will build web app features in React + TypeScript, develop and extend our Python backend and APIs, contribute to our Python-based AI agents and automations, and build integrations across our platform and tools. This is a high-ownership role with broad surface area and fast shipping — and you will provide real engineering depth so that we are never single-threaded on any system.

Core Focus: Autonomous Agents, Multi-Agent Systems, and LLM Engineering

Role Overview

We are seeking a highly skilled and self-directed Full Stack Engineer with a deep specialization in Agentic AI to join our engineering team in our Delhi office. In this role, you will bridge the gap between robust, production-grade full-stack software engineering and cutting-edge cognitive systems. You will be responsible for designing and deploying end-to-end user interfaces, building resilient Python-based back-end APIs, and orchestrating complex, autonomous multi-agent workflows that connect our internal tools and third-party systems.

What You'll Do

Front-End Execution: Build new pages, flows, and features in React + TypeScript, and ship them into our core web application.

Back-End Engineering: Develop and maintain backend services and APIs in Python (utilizing our existing API framework).

Database Design: Design and query PostgreSQL schemas for the features you build.

AI Feature Engineering: Build LLM-powered features and automations in Python — utilizing tool/function calling, RAG (Retrieval-Augmented Generation), and automated pipelines.

Agentic Orchestration: Build agent-based workflows, autonomous agents, and internal automations that connect our tools and services, with appropriate review and approval steps.

Third-Party Integrations: Build integrations between our platform and third-party services (CRMs, ad platforms, email/SMS, analytics, payments) via REST APIs and webhooks.

Systems Quality: Own quality for what you ship: testing, error handling, monitoring, and code review.

Systems Redundancy: Provide engineering coverage across frontend, backend, and AI so the team has genuine redundancy.

Must-Have Qualifications

Agentic / AI Platform Experience (MOST IMPORTANT): Hands-on experience building production-level AI agents, autonomous agents, or multi-agent systems.
- Active implementation experience using framework technologies such as LangChain, LangGraph, CrewAI, or AutoGPT.
- OR scaling agent workflows within Cognitive Studios (Google Agent Studio / Vertex / Gemini, Microsoft Copilot Studio, or OpenAI Assistants API).

Full-Stack Experience:2+ years building and maintaining production web applications across the full stack.

Front-End Proficiency: Strong React with TypeScript — including hooks, typed components, state management, component architecture, and consuming REST APIs.

Back-End Proficiency: Strong Python backend development utilizing modern API frameworks (FastAPI / Django / Flask).

Database Modeling: Solid PostgreSQL / SQL skills and sound relational data modeling.

LLM Integration: Direct experience building LLM-powered applications in Python using OpenAI API, Anthropic / Claude API, and Gemini API. Fluent in advanced prompt engineering, "RAG" tool/function calling, and structured JSON outputs.