Hiring.Camp

Founding Fullstack Engineer

RFS Group

·

May 1, 2026

Salary
$150k – $250k
Workplace
Remote, Onsite
Type
Full-time
Department
Engineering
Visa
Sponsored
Source
RecruiterFlow

Description

 
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.

Title of Role: Founding Fullstack Engineer

Location: San Francisco, CA (On-site, 6 days/week)
Company Stage of Funding: Seed (~$5M raised)
Office Type: On-site
Salary: $150,000 – $250,000 + Competitive Equity
Visa: Visa sponsorship and relocation available


Company Description

Our client is an early-stage industrial AI startup building intelligent systems that automate complex decision-making in manufacturing operations.

The company is tackling a massive, outdated industry by replacing manual, human-driven operational decisions with AI-powered systems that combine agent-based reasoning with mathematical optimization.

Backed by General Catalyst and top operators from companies like Amazon, Stripe, and Applied Intuition, the company has raised ~$5M and is already delivering measurable value to customers by saving millions in operational costs.

The team is small, highly technical, and includes engineers with backgrounds in robotics, AI, and high-performance systems. This is a rare opportunity to join as a founding engineer and shape both the product and technical foundation from the ground up.


What You Will Do

Build scalable backend systems for decision intelligence products

Develop systems combining agent-based reasoning and mathematical optimization

Own product features end-to-end from architecture to production

Build data-intensive, multi-tenant systems

Design backend infrastructure and APIs for production systems

Ship fullstack features (backend-heavy, frontend included as needed)

Work directly with customers to understand real-world workflows

Develop and manage containerized services

Rapidly prototype and deploy production-ready solutions

Collaborate closely with founders on technical direction and roadmap

Help define engineering culture, standards, and system architecture


Ideal Candidate Background

3–8 years of fullstack or backend engineering experience

Strong backend engineering fundamentals

Experience shipping production systems end-to-end (0→1)

Startup or high-intensity engineering environment experience

Strong builder mentality and ownership mindset

Comfortable working directly with customers

Ability to operate in ambiguity and move quickly

Willing to work onsite 6 days/week in San Francisco


Preferred

Experience as a founding engineer or early startup employee

Strong Python backend experience

Experience with TypeScript for frontend development

Experience with containerization (Docker) and infrastructure

Familiarity with databases such as Postgres, Redis, ClickHouse

Experience building data-intensive or distributed systems

Background in technically complex domains (logistics, robotics, infrastructure, B2B systems)

Strong educational background in CS, Electrical Engineering, Robotics, or related fields

Clear signal of excellence (top schools, elite startups, hackathons, OSS, etc.)


Compensation and Benefits

Base salary: $150,000 – $250,000

Equity: Competitive early-stage equity

Visa sponsorship available

Relocation support available

Direct collaboration with founders

High ownership and impact from day one

Opportunity to shape core architecture and product direction


Why Join

This is a rare opportunity to join a deeply technical, AI-native startup tackling one of the largest and most overlooked enterprise markets.

You’ll work on hard engineering problems at the intersection of AI, optimization, and real-world industrial systems, while building foundational product and infrastructure from scratch.

If you're excited about ownership, technical depth, and operating in a high-intensity startup environment, this role offers exceptional upside and impact.

Skills

PythonTypeScriptDockerRedis

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