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Level AI

Optimizes call center data with AI

Senior Full Stack Engineer

Full-Stack EngineeringUpdated on Nov 13
Full-timeNo salary listedRemote

About the Job

Requirements

  • A B.E., B.Tech., M.E., or M.Tech. from a Tier-1 engineering institute, with relevant experience at a top technology company.
  • Three to five years of full-stack development experience.
  • At least two years of web application development experience.
  • Strong proficiency in JavaScript/TypeScript, HTML, and CSS.
  • A 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.

Responsibilities

  • 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.

Desired Qualifications

  • 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.

About the Company

Level AI

Optimizes call center data with AI

Level AI provides software that improves customer experience and operational efficiency in the BPO sector by integrating human and machine intelligence. Its platform unifies call center data from multiple sources and uses intelligent automation and machine learning to automate tasks, guide decisions, and improve interactions, all delivered through a subscription model. It differentiates itself by offering end-to-end data integration across silos and blending human expertise with ML to boost sales conversions and QA productivity in call centers. The goal is to help BPO providers deliver better customer experiences while making operations more efficient and cost-effective.

Company size
201-500
Company stage
Acquired
Total funding
$74.4M
Headquarters
Mountain View, CA
Founded
2018

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