AI QA/DevOps Engineer

Description:

A voice AI platform that powers B2B conversations. The founding team has a stellar background in healthcare and technology - 20+ years each working for marquee companies - McKesson, ThermoFisher, Amazon, Microsoft, Uber, and the largest not-for-profit provider in the US with 2 exits (both acquired by publicly-traded companies). One of the team members has 150+ patents with 1500+ citations. Further, the team has a pedigree from UC Berkeley, Carnegie Mellon, NYU Stern, and IIT Delhi (All India Rank JEE 71).

AI QA/DevOps Engineer (6L -11L plus Generous pre-IPO stock options)

We are looking for an AI QA/DevOps engineer interested in functional, regression, and load testing of our AI platform. You will work across the entire tech stack: data engineers, NLP/MLP engineers, and full-stack engineers. We encourage our engineers to take ownership over technical and certain product decisions from day 1, interact with product management and data engineering teams, and contribute to a fun, fast-paced, dynamic, and transparent team culture.

Looking for someone who has the following skills:

• Significant demonstrable experience (2-3 years) with functional, regression, and/or load testing
• Experience with designing management of the API endpoints using tools like Apigee, and others
• Generating management reports over the tests per API
• Ensure quality assurance for ML datasets
• Bachelors in Computer Science. Top Engineering University is a plus

At the company, you will:

• Work at a cutting-edge conversational AI company on a dynamic real-time web frontend
• Work with Data engineers to test data pipelines, infrastructure, and real-time alerting systems

Nice to have:

• QA/DevOps experience at a start-up or multi-national company managing a team of 2-3 people
• Designing unseen edge cases for ML modeling
• Designing near or real-time alerting system for failures in the architecture