Junior Software Engineer

Experience: 1–3 years
Salary: $130K – $180K (Base) + 0.1%+ Equity

About GigaML

At GigaML, we’re revolutionizing enterprise customer support by deploying AI agents that resolve over 1 million customer tickets monthly via voice and chat. Industry leaders like Postman and Zepto (YC’s fastest-growing company) trust our AI to navigate complex, real-world conversations with clarity, accuracy, and scalability.

With multi-year contracts secured and strong investor backing from YC President Garry Tan, Nexus Venture Partners, and other top investors, we’re scaling fast to meet skyrocketing demand.

Why Join Us?

• Build production-grade AI systems used at scale by fast-growing tech companies.

• Collaborate with world-class engineers and grow in a high-feedback environment.

• Work on high-impact projects with direct visibility and accountability.

• Join early, grow fast, and shape the future of AI-driven enterprise support.

About the Role

We’re hiring a full-time Software Engineer to join our fast-paced, in-person team in San Francisco. You’ll work directly with the founding team to build LLM-powered products, take features from idea to deployment, and help scale mission-critical systems.

What You’ll Do:

• Contribute to both backend and frontend development of our AI platform.

• Work cross-functionally with engineers, designers, and leadership to build features end-to-end.

• Take full responsibility for components you build from architecture to deployment.

• Experiment with LLMs and apply them to real-world customer service challenges.

Who You Are / Must-Haves:

• Experience: 1–3 years of full-time software engineering experience.

• Education: Bachelor’s or Master’s from one of the following top 10 computer science universities in the US, with a GPA of 3.95 or higher: MIT, Stanford, Carnegie Mellon, UC Berkeley, Illinois (Urbana-Champaign), Caltech, Cornell, Georgia Tech, Princeton, University of Washington

• Backend Skills: Strong proficiency in Python (Django preferred).

• AI Exposure: Interest or experience in LLMs or AI products.

• X-Factor: Something exceptional, former founder, Olympiad medalist, or standout project.

Perks & Benefits

• Competitive Compensation: base salary plus equity

• Gym Membership

• Full health, dental, and vision coverage

• Recently expanded into a 5,000 sq. ft. office to support our growing team

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

Interview Process

• Intro call with CEO (15–20 min)

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

• In-office trial day (full day)