GigaML
Location:
San Francisco (100% In-Office) Experience:
2+ years Salary:
$150K - $300K Offers Equity About Us At GigaML, were 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, were 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 companys technical direction
Growth:
Develop yourself alongside top-tier engineers and Founders
About the Role Were 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 Youll 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 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
Strong 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 valued
Gritty:
Capable of working long productive hours
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)
#J-18808-Ljbffr
San Francisco (100% In-Office) Experience:
2+ years Salary:
$150K - $300K Offers Equity About Us At GigaML, were 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, were 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 companys technical direction
Growth:
Develop yourself alongside top-tier engineers and Founders
About the Role Were 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 Youll 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 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
Strong 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 valued
Gritty:
Capable of working long productive hours
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)
#J-18808-Ljbffr