Job Details

Location: San Francisco (100% In-Office)
Experience: 2+ years
Salary: $150K - $300K • Offers Equity

About Us

At GigaML, we're shaping the future of conversational AI, fully automating customer support to elite levels for enterprises with a lean team of engineers.

Our customers trust our agents to navigate complex, real-world conversations with clarity, accuracy and scalability. We've deployed AI agents that resolve over 1 million support tickets monthly for one of our early customers alone. Now working with the most recognizable names in food delivery and crypto, we are gaining significant traction as a frontrunner in this space against our biggest competitors.

With multi-year contracts secured across several industries and a large Series A round that recently closed with investors such as Y-Combinator and Nexus VP, we're on track to power the next trillion voice interactions.

Why Join Us?

• Momentum: Be a part of a team that has seen validation from both customers and investors alike

• Ownership: Be a key contributor to cutting-edge ML projects transforming industries and influence the company's technical direction

• Growth: Develop yourself alongside top-tier engineers and Founders

About the Role

We're seeking aSoftware Engineer with hands-on experience in building and deploying LLM-based products from scratch. You should take pride in your work and write high-quality, scalable code. If you thrive in a fast-paced, high-ownership environment, we want to hear from you.

What You'll Do:

• Ship and Own Products: Rapidly contribute to our products, eventually owning your own product or product lines.

• Design Scalable Solutions: Crafting systems that remain fast, reliable, and secure as we grow.

• Translate Vision into Launches: Partner with founders and cross-functional teams to turn big ideas into clear plans, drive sprints, and land high-impact releases.

Who You Are / Must-Haves:

1. Exceptional Engineer

   • Backend: Strong experience in Python (Django experience is a plus)

   • Frontend: Proficiency in Next.js, React, and ShadCN

   • Cloud: Proficient with AWS or Google Cloud

   • Scalability: Familiarity with Kubernetes and Docker is a plus

2. Strong Background: Degree from a top-tier engineering program (weighed more heavily when total YOE is lighter)

3. Entrepreneurial: Preference for candidates with experience at successful startups — former founders are especially valued

4. Gritty: Capable of working long productive hours

5. Experienced: 2-4 years of hands-on engineering experience

Perks & Benefits

• Extremely competitive total compensation

• Equinox Membership

• Wellness allowance

• Full health, dental, and vision coverage

• On-demand snacks, meals, and coffee to keep you fueled

Interview Process

• Screening call w/ recruiting lead (20 min)

• Intro call w/ CEO (15 min)

• Live coding round w/ CTO or Founding Engineer (1 hr)

• In-office interview (full day)