Junior Software Engineer Job at Jobleads-US, San Francisco, CA

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  • Jobleads-US
  • San Francisco, CA

Job Description

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) #J-18808-Ljbffr Jobleads-US

Job Tags

Full time,

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