Founding Engineer at Giga ML (S23)
$150K - $220K  •  0.50% - 1.00%
AI customer service agent for B2C Companies
San Francisco, CA, US
Full-time
1+ years
About Giga ML

Giga ML is an applied AI lab focused on building end-to-end customer care agents, co-founded by Varun Vummadi and Esha Manideep. Varun left the Stanford PhD program in AI (2023) and Esha was ranked third at IIT KGP in 2023 to work on Giga ML. We raised $3.7 million in seed funding, led by Nexus, and are part of Y Combinator's S23 Batch. Garry Tan, CEO of YC, personally invested in us.

About the role
Skills: Django, Kubernetes, Python, React, Google Cloud, Amazon Web Services (AWS)

Founding Engineer - GigaML

At GigaML, we’re transforming how enterprises manage customer support by deploying AI agents that resolve +1M customer tickets monthly for a single client through voice and chat. We’re trusted by industry leaders like Postman and Zepto (YC’s fastest-growing company), and we’re scaling fast to meet growing demand.

We work hard and take pride in our commitment to deliver the best products on the market. With a strong pipeline of enterprise clients and ambitious goals, we’re moving fast to execute and deliver results.

What our AI agents do

  • Reliably navigate complex, real-world conversations with clarity
  • Maintain exceptional accuracy in handling sensitive information like payments
  • Operate with extremely high availability (24 hrs /day)
  • Seamlessly scale to meet enterprise-level demands (+40k tickets /day)

Why join GigaML?

We’re backed by YC President Garry Tan, Nexus Venture Partners, and other leading investors. With multi-year contracts secured and plenty of runway we’re well-positioned for long-term growth.

  • Location: San Francisco Financial District (In-office)
  • Compensation: $150k–$220k (Base) + 0.5%–1.0% Equity
  • Perks:
    • Free meals through DoorDash (7 days a week)
    • Equinox membership (just 3 blocks from the office)
    • Wellness allowance
    • Full health, dental, and vision coverage
  • Office: Expanding to a 5,000 sq. ft. office to support our growing team
    • Cold plunge in building
    • Full gym in building
    • All you can drink coffee😉
  • Seed: $4.1M
  • Garry Tan and Harj Taggar personally regognizing GigaML: here

Who we’re looking for

We’re looking for a full-stack engineer with hands-on experience in building production LLM products from scratch. You should take pride in your work and write high-quality code. If you thrive in a fast-paced environment and are excited to build, we want to hear from you.

Qualifications

  • Backend Skills: Strong background in Python (Django experience is a plus).
  • Frontend Skills: Proficiency in Next.js, React, and ShadCN.
  • Cloud Platforms: Proficient with AWS or Azure.
  • Scalability: Familiarity with Kubernetes and Docker is a big plus.

Core responsibilities:

  • Build Product: Quickly ramp up and contribute to our Chat and Voice products, eventually owning your own product or product lines.
  • Technical Leadership: Drive technical decisions and architecture design, shaping the backbone of our solutions.
  • Cross-functional Collaboration: Work closely with co-founders and other team members to translate business vision into actionable project plans.
  • Ownership: Take full product ownership, from ideation to launch, including integration into existing systems.

What you’ll gain

  • Impact: Be a key contributor to cutting-edge ML projects reshaping industries.
  • Growth: Thrive in a dynamic, innovative environment alongside top-tier talent.
  • Innovation: Work with advanced tools and continuously push boundaries.
  • Autonomy: Drive your own initiatives and influence the company’s technical direction.
Technology

Backend: Django Front end: React Cloud: GCP We fine-tune Open-source LLMs with our own scripts

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