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Giga (gigaml.com)

Staff Backend Engineer (India)

Reposted 4 Days Ago
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Remote or Hybrid
Hiring Remotely in India
Senior level
Remote or Hybrid
Hiring Remotely in India
Senior level
Giga seeks a Staff Backend Engineer with strong Python and cloud experience to build AI agents for customer experience. Must have 8+ years in engineering, preferably in startups.
The summary above was generated by AI

Location: Bangalore (3 days In-Office)
Experience: 8+ years

About Giga

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

  • DoorDash and Giga Partnership

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!

Engineers at Giga work on problems like:

  • Building agents with almost no hallucination rates

  • A voice experience that's better than talking to humans

  • Creating self-learning agents that optimize metrics


Who You Are / Must-Haves:

  1. 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

  2. Entrepreneurial: Preference for candidates with experience at successful startups. Former founders are especially valued

  3. Seasoned: 8+ years of hands-on engineering experience with roles in leadership

  4. Committed: Willing to be present in-office for all work days. No remote.


Perks & Benefits

  • Competitive total compensation

  • Full health, dental, and vision coverage

  • On-demand snacks, coffee


Interview Process

  • 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)

Top Skills

AWS
Django
Docker
GCP
Kubernetes
Python

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