Giga ML
GigaML Software Engineer Opportunity
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. 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 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: 3-5 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)
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. 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 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: 3-5 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)