Got mentioned in YC light cone podcast 4 times one of the fastest growing YC companies ever. We are building AI support agent to solve super complex support issues.

Location: San Francisco (100% In-Office)
Experience: 3+ years
Salary: $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

P.S. We’ve been endorsed on YC’s Light Cone podcast 4 times by Partners Harj Taggar and Garry Tan (who personally invested in GigaML) — here’s the video link to the most recent one

About the Role

We're seeking a Forward Deployed Engineer to join our San Francisco team. You'll serve as the technical interface between GigaML and our customers, building and deploying sophisticated AI-driven solutions at scale.

What You’ll Do:

• Lead customer engagements from start to end: run discovery calls & demos, align business/technical stakeholders on milestones, and serve as the primary PoC who drives meetings and removes blockers.
• Design & ship production-ready AI agents: work with large-scale data, write backend code, build integrations, and deploy to cloud infrastructure.
• Own the full agent development life cycle: prototype quickly, set up CI/CD, monitor live usage, iterate to targets, and document best practices to speed up future projects.
• Troubleshoot, optimize, and harden solutions: dive deep to tune models, debug live issues, and enforce guardrails for reliability, latency, and security.
• Close the feedback loop with product & platform: capture unmet needs, prototype new features, and collaborate with core teams to strengthen the platform for all customers.

Who You Are / Must-Haves:

• Exceptional Engineer: Strong experience in Python
  Interpersonally Acumen: Able to solve problems in a people-centric manner and communicate effectively, with experience in customer-facing roles
• 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)

Backend: Django Front end: React Cloud: GCP We fine-tune Open-source LLMs with our own scripts