Full-Stack Engineer (Full Time - In Office)

Gofractional; San Francisco (CA); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Equity grant

Experienced team

Focus on non-coders

Job summary

Gofractional in San Francisco is seeking a Full Stack Engineer to develop AI agents aimed at assisting non-technical sales teams. This role involves tackling classic SaaS integration challenges while focusing on user-facing requests and AI agent infrastructure.

The ideal candidate will have 2–5 years of experience in early-stage startups, with a strong ability to contribute to both frontend and backend development using technologies like React/TypeScript and Python.

This position offers a competitive salary in the six-figure range and an equity grant of approximately 1%+.

Qualifications

• 2–5 years work experience at early-stage startups.
• Ability to ship across frontend and backend production systems.
• Interest in joining as one of the first employees in a founding engineering role.

Responsibilities

• Develop and implement AI agents for non-technical operators.
• Engage in hands-on full-stack development.
• Contribute to product launch and continuous improvement.
• Innovate and refine the application layer to enhance performance.

Skills

Full-stack development

Production experience

Multi-agent systems

Human-agent interaction

React/TypeScript

Python

SQL

Job description

Most agents today are for coding, but the company is building AI agents for non-technical people, starting with sales teams.

As the team grows, we are looking for a Full Stack Engineer. You’ll move between classic SaaS integration problems, user-facing requests, and AI agent infrastructure.

This position targets a competitive base salary (around a six-figure range) and a meaningful equity grant (around ~1%+).

Responsibilities

• Collaborate closely with a tight-knit team to develop and implement an AI agent targeting business outreach for non-technical operators
• Engage in hands‑on full‑stack development, focusing on multi‑agent systems and human–agent interaction
• Contribute to an upcoming product launch, ensuring readiness and continued improvement after launch
• Continuously innovate and refine the application layer of AI agents to enhance performance and usability

Qualifications

• 2–5 years work experience at early‑stage startups — familiar with production systems and infrastructure ready to scale
• Production experience across the web stack — able to ship across frontend and backend (example technologies include React/TypeScript, Python, and SQL)
• Early‑stage ready — interest in joining as one of the first employees in a founding engineering role

Benefits

• Equity grant (example range: 1–3% for early tenure)
• Team experienced in building agentic systems over recent years and prepared to scale
• Market focus: building products for the large majority of users who do not code