Location:
San Francisco (100% In-Office)
Experience: 2+ yearsSalary: $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 a
Software 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:
Exceptional EngineerBackend: Strong experience in Python (Django experience is a plus)Frontend: Proficiency in Next.js, React, and ShadCNCloud: Proficient with AWS or Google CloudScalability: Familiarity with Kubernetes and Docker is a plusStrong Background: Degree from a top-tier engineering program (weighed more heavily when total YOE is lighter)Entrepreneurial: Preference for candidates with experience at successful startups — former founders are especially valuedGritty: Capable of working long productive hoursExperienced: 2-4 years of hands-on engineering experiencePerks & 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)
Compensation Range: $150K - $250K
