Gulf Coast Automation Group LLC
Fullstack Engineer
Gulf Coast Automation Group LLC, San Francisco, California, United States, 94199
Job Description:
Fullstack Engineer
Location:
Onsite San Francisco, CA (6 days/week, ~12 hours/day) Position Type:
Full-Time (Permanent) Work Policy:
Onsite (relocation dollars available only for exceptional candidates) Start Timeline:
ASAP
About This fast-scaling AI startup is automating enterprise customer support with elite accuracy and scalability. Their AI agents already resolve over 1 million support tickets monthly for a single customer and are trusted by top brands across industries including food delivery and crypto. Recently funded with a large Series A and backed by leading investors, the team is on track to power the next trillion voice interactions.
Why join Momentum:
Multi-year contracts and rapid adoption across multiple industries Ownership:
Influence technical direction while working on cutting-edge ML projects Growth:
Collaborate with top-tier engineers and founders on transformative AI systems Compensation
Base Salary: $150,000 - $300,000 (average hires ~$160K -$170K base; equity potential pushes total comp toward $300K) Equity: Offered Notes: Relocation available for exceptional candidates; on-site interview travel at candidate's expense Tech environment
Backend: Python (Django) Frontend: Next.js, React, ShadCN Cloud/Infra: AWS, Google Cloud, Kubernetes, Docker Focus: LLM-based product development, scalable architecture, 01 product builds Role summary As a Fullstack Engineer, you will build and scale LLM-powered products from scratch, owning significant product lines and technical decisions. You'll work directly with founders and a small, high-caliber team to ship at speed in a high-intensity environment. The role requires full on-site commitment in San Francisco, 6 days per week, ~12 hours per day during core build phases.
Responsibilities
Rapidly contribute to and eventually own core product lines Build and deploy LLM-based applications end-to-end Design scalable, reliable, and secure systems for high-volume use cases Collaborate with founders to translate product vision into launches Write high-quality, maintainable code across backend and frontend systems Must-have qualifications
Current or past founding engineer, founder, or early employee at a successful, fast-growing startup (YC-backed or multi-round funded preferred) Hands-on experience building and deploying LLM-based products from scratch Proven 01 product development and scaling experience with exceptional code quality Degree from a top 25 US university or IIT, or exceptional work experience in lieu of degree Strong expertise in Python (Django) Proficiency in Next.js, React, and ShadCN Familiarity with AWS or Google Cloud (Kubernetes/Docker a plus) Passionate, entrepreneurial mindset with grit to work long hours in a high-growth environment 2-4 years of hands-on engineering experience Willingness and ability to work onsite in San Francisco 6 days a week, ~12 hours a day Preferred qualifications
AI startup experience Strong JavaScript skills alongside Python Unique side projects or ML experiments (GitHub link strongly encouraged)
Required Skills: • Adoption • Next.JS • Scalability • Ownership • Salary • React • Customer Support • Scratch • Compensation • Django • AWS • Product Development • Travel • Architecture • Kubernetes • Github • Docker • Design • Engineering • JavaScript • Python
Salary Package: $ 150,000.00 - 300,000.00 (US Dollar)
Fullstack Engineer
Location:
Onsite San Francisco, CA (6 days/week, ~12 hours/day) Position Type:
Full-Time (Permanent) Work Policy:
Onsite (relocation dollars available only for exceptional candidates) Start Timeline:
ASAP
About This fast-scaling AI startup is automating enterprise customer support with elite accuracy and scalability. Their AI agents already resolve over 1 million support tickets monthly for a single customer and are trusted by top brands across industries including food delivery and crypto. Recently funded with a large Series A and backed by leading investors, the team is on track to power the next trillion voice interactions.
Why join Momentum:
Multi-year contracts and rapid adoption across multiple industries Ownership:
Influence technical direction while working on cutting-edge ML projects Growth:
Collaborate with top-tier engineers and founders on transformative AI systems Compensation
Base Salary: $150,000 - $300,000 (average hires ~$160K -$170K base; equity potential pushes total comp toward $300K) Equity: Offered Notes: Relocation available for exceptional candidates; on-site interview travel at candidate's expense Tech environment
Backend: Python (Django) Frontend: Next.js, React, ShadCN Cloud/Infra: AWS, Google Cloud, Kubernetes, Docker Focus: LLM-based product development, scalable architecture, 01 product builds Role summary As a Fullstack Engineer, you will build and scale LLM-powered products from scratch, owning significant product lines and technical decisions. You'll work directly with founders and a small, high-caliber team to ship at speed in a high-intensity environment. The role requires full on-site commitment in San Francisco, 6 days per week, ~12 hours per day during core build phases.
Responsibilities
Rapidly contribute to and eventually own core product lines Build and deploy LLM-based applications end-to-end Design scalable, reliable, and secure systems for high-volume use cases Collaborate with founders to translate product vision into launches Write high-quality, maintainable code across backend and frontend systems Must-have qualifications
Current or past founding engineer, founder, or early employee at a successful, fast-growing startup (YC-backed or multi-round funded preferred) Hands-on experience building and deploying LLM-based products from scratch Proven 01 product development and scaling experience with exceptional code quality Degree from a top 25 US university or IIT, or exceptional work experience in lieu of degree Strong expertise in Python (Django) Proficiency in Next.js, React, and ShadCN Familiarity with AWS or Google Cloud (Kubernetes/Docker a plus) Passionate, entrepreneurial mindset with grit to work long hours in a high-growth environment 2-4 years of hands-on engineering experience Willingness and ability to work onsite in San Francisco 6 days a week, ~12 hours a day Preferred qualifications
AI startup experience Strong JavaScript skills alongside Python Unique side projects or ML experiments (GitHub link strongly encouraged)
Required Skills: • Adoption • Next.JS • Scalability • Ownership • Salary • React • Customer Support • Scratch • Compensation • Django • AWS • Product Development • Travel • Architecture • Kubernetes • Github • Docker • Design • Engineering • JavaScript • Python
Salary Package: $ 150,000.00 - 300,000.00 (US Dollar)