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Salary
≈ $16k – $36k per year (Estimated)
Location
Hybrid (Noida, Bengaluru, India)
Seniority
Senior · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jun 8, 2026. LevelAI scores D on the Alion truth index.

Overview
Company
Impact
Profile match
LevelAI is a SaaS company focused on improving the quality and consistency of customer conversations, particularly in contact centre and support environments. Its product sits around the day to day work of customer facing teams, using conversation data from calls and digital channels to surface what is happening in real interactions, where processes break down, and how teams can coach and improve. The underlying problem it addresses is familiar to any organisation with a large support or sales operation, it is hard to review conversations at scale, hard to spot patterns early, and hard to turn feedback into practical changes without adding more manual work for managers and agents.

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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