L

Level AI

Optimizes call center data with AI

Lead Software Engineer

Backend EngineeringUpdated on Nov 13
Full-timeRemote in IndiaNo salary listedRemote

About the Job

Requirements

  • A B.E./B.Tech, M.E./M.Tech, or PhD from a tier 1 or tier 2 engineering institute, with relevant work experience at a top technology company.
  • At least 6 years of backend and infrastructure experience, with a strong track record in development, architecture, and design.
  • Hands-on experience with large-scale databases, high-scale messaging systems, and real-time job queues.
  • Experience navigating and understanding large-scale systems, complex code bases, and architectural patterns.
  • Experience mentoring and providing technical leadership to other engineers.
  • Experience with Google Pub/Sub and Kafka for queues.
  • Experience with Flask, FastAPI, or Django.
  • Experience with auto-scaling in distributed systems.

Responsibilities

  • Develop and execute the technical roadmap to scale the company's technology stack.
  • Design and build highly scalable, low-latency distributed systems to process large-scale real-time data.
  • Drive engineering best practices through the software development lifecycle.
  • Drive operational excellence for critical services requiring high uptime.
  • Collaborate with stakeholders inside and outside engineering to create technical plans supporting business goals, and lead their execution.
  • Stay up to date with the latest technologies and thoughtfully apply them to the technology stack.

Desired Qualifications

  • Experience with Google Cloud, Django, PostgreSQL, Celery, or Redis.
  • Some experience with AI infrastructure and operations.

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

Recently Posted Jobs

Explore more opportunities at Level AI

See more jobs