Senior Full Stack Engineer (Noida, BLR, India)

Level AI; India; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Level AI, a fast-growing startup, is hiring a full-stack software engineer in India to build real-time AI-powered agent tools. You will own end-to-end features, work across Python/Django backend and React frontend, and integrate with REST/GraphQL APIs and cloud services.

You’ll contribute to multi-tenant, scalable enterprise applications and collaborate with cross-functional teams to deliver impactful product experiences.

Qualifications

• Education: B.E/B.Tech/M.E/M.Tech from Tier-1 engineering institutes, with relevant experience at a top technology company

Responsibilities

• Own end-to-end development of features and tools for Agent Assist workflows

Skills

JavaScript/TypeScript

React

Python

Django

Node.js

REST APIs

GraphQL

HTML/CSS

WebSockets

Real-time AI

Multi-tenant systems

OOP

Algorithms

Education

B.E./B.Tech./M.E./M.Tech from Tier-1 institutes

Tools

PostgreSQL

MySQL

MongoDB

Redis

Snowflake

GCP

Docker

Kubernetes

CI/CD

Job description

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.

Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, you'll work on high-impact projects shaping the future of AI-driven enterprise applications alongside experts from Amazon, Facebook, Google, and more. At Level AI, expect a dynamic journey of fun, learning, and growth. Ready to redefine possibilities? Join us!

Core Competencies

• Backend: Python (Django), Node.js (NestJS), TypeScript, REST APIs, GraphQL
• Frontend: React, JavaScript/TypeScript, HTML, CSS/SCSS, Redux, Ant Design
• Data: PostgreSQL/MySQL, MongoDB, Redis, Snowflake
• Infrastructure: GCP, Docker, Kubernetes, CI/CD
• Other: OOP, Data Structures & Algorithms, Caching, WebSockets, Multi-tenant systems, real-time AI-assisted workflows
• A self-starter and go-getter attitude for technology

Your responsibilities at Level AI include, but are not limited to-

• Own end-to-end development of features and tools for Agent Assist workflows
• Build web interfaces for real-time, customer-facing AI products
• Turn designs and wireframes into production-ready full-stack code
• Develop features using React and backend services such as Django and NestJS
• Build reusable components and shared front-end libraries
• Design and implement scalable APIs and service integrations
• Integrate with cloud services and event-driven pipelines to support real-time assistance

Requirements

• Education: B.E/B.Tech/M.E/M.Tech from Tier-1 engineering institutes, with relevant experience at a top technology company
• Experience: 3-5 years of full-stack development
• 2+ years of web application development
• Strong proficiency in JavaScript/TypeScript, HTML, and CSS
• Solid understanding of React and its ecosystem
• Experience with backend frameworks such as Django, Node.js, or NestJS
• Experience with relational databases such as PostgreSQL or MySQL
• Experience with MongoDB or other NoSQL databases
• Experience with Redis or similar caching systems
• Strong product sense and ability to build reliable, user-focused enterprise applications

Nice To Have

• Experience with GraphQL
• Experience with Docker and Kubernetes
• Experience with GCP services
• Experience with Snowflake or other data warehouses
• Experience with WebSockets and real-time features
• Experience with multi-tenant or SaaS architectures
• Experience building AI-enabled, agent-facing, or contact-center products