Senior Full Stack Engineer (Noida, BLR, India)

Level AI

Dadri, Bengaluru

On-site

INR 1,500,000 - 2,100,000

Full time

14 days+

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Job summary

Level AI is hiring a senior full-stack engineer to own end-to-end development of agent-assist workflows and real-time AI-enabled interfaces. You will build web interfaces for customer-facing AI products, convert designs into production-ready code, and collaborate across frontend and backend teams using React, Django, NestJS, and modern databases.

Ideal candidates have 3–5 years of full-stack experience, strong JavaScript/TypeScript skills, and a proven ability to deliver reliable enterprise

Qualifications

  • Bachelor's or higher in Engineering from a reputed institute.
  • 3–5 years of full-stack development experience with modern JS stack.
  • Strong proficiency in React, TypeScript, HTML, and CSS.

Responsibilities

  • Own end-to-end development of features for Agent Assist workflows.
  • Build web interfaces for real-time, customer-facing AI products.
  • Turn designs 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 for real-time assistance.

Skills

JavaScript
TypeScript
React
HTML
CSS
REST APIs
GraphQL
Docker
Kubernetes
WebSockets
OOP
Real-time workflows

Education

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

Tools

Django
NestJS
Node.js
PostgreSQL
MySQL
MongoDB
Redis
GCP
Snowflake

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

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