FullStack Engineer (Noida, India)

Reposted 12 Days Ago
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Noida, Gautam Buddha Nagar, Uttar Pradesh
Hybrid
Mid level
Artificial Intelligence • Natural Language Processing • Software • Conversational AI
The Role
As a FullStack Engineer, you will develop cutting-edge web interfaces, translate designs into code, and build APIs for customer-facing tools.
Summary Generated by Built In
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.

About the Role : As a critical member of the team, you'll work with modern technologies and help shape AI-driven enterprise applications. You'll collaborate with people who have worked at Amazon, Facebook, Google, and other leading tech companies. At Level AI, you'll learn, grow, and contribute to our mission.

Core Competencies
Backend: Python (Django), Node.js (NestJS), TypeScript, REST APIs, GraphQL Frontend: React, JavaScript/TypeScript, HTML, CSS/SCSS, Redux, Ant Design Data: Relational (PostgreSQL, MySQL), Non-relational (MongoDB), Redis, Snowflake Infrastructure: GCP (Pub/Sub, Cloud Storage), Docker, Kubernetes, CI/CD (Jenkins) Other: OOP, Data Structures & Algorithms, Caching, WebSockets, Multi-tenant systems

Responsibilities

  • Own end-to-end development of features and tools
  • Build web interfaces for customer-facing products
  • Turn designs and wireframes into production-ready full-stack code
  • Develop features using React and backend services (Django, NestJS)
  • Build reusable components and shared front-end libraries
  • Design and implement RESTful APIs and GraphQL interfaces
  • Work across a pnpm monorepo with shared packages and services.
  • Integrate with GCP services (Pub/Sub, Storage) and event-driven pipelines

Requirements

  • Education: B.E/B.Tech/M.E/M.Tech from Tier-I engineering institutes, with relevant experience at a top technology company
  • Experience: 1–3 years of full-stack development
  • 1+ years of web application development
  • Strong proficiency in JavaScript/TypeScript, HTML, and CSS
  • Solid understanding of React and its ecosystem
  • Experience with Django (Python)
  • Experience with Node.js and NestJS (or similar frameworks)
  • Experience with relational databases (PostgreSQL, MySQL)
  • Experience with MongoDB or other NoSQL databases
  • Experience with Redis or similar caching systems

  • Nice to Have:
  • Experience with GraphQL (e.g., Apollo Client)
  • Experience with monorepos (pnpm, npm workspaces, Turborepo)
  • Experience with Docker and Kubernetes
  • Experience with GCP (Pub/Sub, Cloud Storage)
  • Experience with Snowflake or other data warehouses
  • Experience with WebSockets and real-time features
  • Experience with multi-tenant or SaaS architectures

Compensation: We offer market-leading compensation, based on the skillset and aptitude of the candidate.

To learn more visit : https://thelevel.ai/
Funding : https://www.crunchbase.com/organization/level-ai
LinkedIn : https://www.linkedin.com/company/level-ai/
Our AI platform : https://www.youtube.com/watch?v=g06q2V_kb-s

Top Skills

CSS
Firebase
GCP
GraphQL
HTML
JavaScript
Python-Django
React
Restful Api
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The Company
HQ: Mountain View, CA
122 Employees
Year Founded: 2018

What We Do

Level AI (https://thelevel.ai) is a Mountain View, CA and Delhi, India based startup innovating in the Voice AI space. We are backed by top VCs, technologists from Silicon Valley and industry experts. We are on a mission for AI to augment the worker and not replace them. We are innovating in speech AI, NLP and information retrieval systems to bring customers and businesses closer to one another.

The team has experience from Amazon Alexa, Google, and other leading AI organizations.

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