Forward Deployed Engineer
San Francisco
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
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)
Tags: CI/CD Conversational AI Crypto Engineering Machine Learning Python Security
Perks/benefits: Competitive pay Equity / stock options Health care Snacks / Drinks Wellness
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