Jobs at Giga
About this Opportunity
Location: Bangalore (3 days In-Office)
Experience: 2-4 years
Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We’re building the next generation of customer experience — real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world’s largest enterprises.
It’s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
Voice AI startup Giga raises $61M Series A
Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
Building agents with almost no hallucination rates
A voice experience that's better than talking to humans
Creating self-learning agents that optimize metrics
Exceptional Engineer
Backend: Strong experience in Python (Django experience is a plus)
Cloud: Proficient with AWS or Google Cloud
Scalability: Familiarity with Kubernetes and Docker is a plus
Entrepreneurial: Preference for candidates with experience at successful startups. Former founders are especially valued
Seasoned: 2-4 years of hands-on engineering experience
Committed: Willing to be present in-office for all work days. No remote.
Competitive total compensation
Full health, dental, and vision coverage
On-demand snacks, coffee
Screening call w/ Recruiting Lead (20 min)
Intro call w/ Founding Engineer (15 min)
Live coding round w/ Founding Engineer (1 hr)
In-office interview (full day)
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