Founding Engineer

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 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.