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.
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Location: San Francisco Financial District (In-office)
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Compensation: $150k–$220k (Base) + 0.5%–1.0% Equity
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Perks:
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Free meals through DoorDash (7 days a week)
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Equinox membership (just 3 blocks from the office)
- Wellness allowance
- Full health, dental, and vision coverage
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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😉
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Seed: $4.1M
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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
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Backend Skills: Strong background in Python (Django experience is a plus).
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Frontend Skills: Proficiency in Next.js, React, and ShadCN.
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Cloud Platforms: Proficient with AWS or Azure.
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Scalability: Familiarity with Kubernetes and Docker is a big plus.
Core responsibilities:
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Build Product: Quickly ramp up and contribute to our Chat and Voice products, eventually owning your own product or product lines.
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Technical Leadership: Drive technical decisions and architecture design, shaping the backbone of our solutions.
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Cross-functional Collaboration: Work closely with co-founders and other team members to translate business vision into actionable project plans.
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Ownership: Take full product ownership, from ideation to launch, including integration into existing systems.
What you’ll gain
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Impact: Be a key contributor to cutting-edge ML projects reshaping industries.
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Growth: Thrive in a dynamic, innovative environment alongside top-tier talent.
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Innovation: Work with advanced tools and continuously push boundaries.
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Autonomy: Drive your own initiatives and influence the company’s technical direction.