Founding Engineer - AI & Full-Stack

Location: San Francisco, CA (onsite)
Employment: Full-Time
Experience: 0–6 years
Compensation: $170K–$250K + Equity
Equity: 0.5%–1.5%
Openings: 3
We’re working with an early-stage AI startup building intelligent software that automates complex, high-volume customer workflows across voice, SMS, and email.
This is a true founding-level engineering opportunity for someone who wants significant ownership, moves quickly, and enjoys solving problems where there isn’t an established playbook.
You’ll work across the full stack while helping build and scale production AI agents, integrations, and workflow systems.
What You’ll Do:
As a Founding Engineer, you’ll have end-to-end ownership across product and infrastructure, including:
Build and scale production AI agents across voice, SMS, and email
Design systems that maintain context and consistency across multi-channel interactions
Develop full-stack product experiences and internal tools
Build complex API integrations and custom adapters
Work with external systems that may have limited or inconsistent APIs
Develop scheduling and workflow orchestration systems
Build infrastructure for scaling LLM-powered applications
Improve agent state, memory, personalization, and reasoning
Own features from problem definition → design → implementation → deployment → iteration
Troubleshoot production issues and make architectural decisions as the product evolves
Work closely with the founding team to turn ambiguous problems into working products
Requirements
We’re looking for a high-slope, highly ambitious engineer who wants substantial ownership early in their career.
Required:
0–6 years of software engineering experience
Strong TypeScript and Python experience
Full-stack development experience
Experience shipping real production software
Strong software engineering and computer science fundamentals
Experience owning projects or systems end-to-end
Ability to make sound technical decisions with limited direction
Comfortable working through ambiguous, technically challenging problems
Strong understanding of the systems you’ve built and the architectural decisions behind them
Demonstrated ability to learn quickly and take on new technologies
Willingness to work in-person in San Francisco 6 days/week
Comfortable working in a highly demanding, fast-paced startup environment
Strongly Preferred:
AI agents or production LLM applications
LLM orchestration
Voice AI
SMS/email automation
Conversational AI
Agent state and memory
Complex API integrations
Reverse-engineering or integrating with legacy systems
Scheduling or workflow systems
Healthcare or other highly regulated industries
High-volume communication platforms
AWS
Next.js
TypeScript
Python
Open-source or significant personal projects
Early-stage or founding startup experience
What Makes This Role Different:
This isn't a role where you'll simply receive tickets and implement predefined requirements.
You’ll be expected to figure things out, build, ship, break things, fix them, and improve them.
The ideal candidate can walk through something substantial they've built and clearly explain:
What was the problem? → What did you build? → What did you personally own? → What were the hardest technical decisions? → What broke? → How did you fix it? → How did you scale it?
We're particularly interested in engineers who can demonstrate real-world impact, regardless of whether that experience came from a startup, previous employer, open-source project, or something they built independently.
Ideal Background - You might be a:
Founding or early engineer at a startup
Engineer #1–10 at an early-stage company
Full-stack engineer building AI-powered products
New or recent CS graduate with exceptional technical projects
Software engineer who has independently built and shipped products
Engineer with experience integrating complex or difficult external systems
Years of experience are less important than demonstrated ability to build.
A candidate with 1–2 years of experience who has genuinely owned and shipped a difficult production system may be a strong fit.
Technology: TypeScript • Python • AWS • Next.js • LLMs • AI Agents • APIs • Voice • SMS • Email • Full-Stack
Work Environment: This is an in-person, high-intensity startup environment in San Francisco.
The team moves quickly, expects a high degree of ownership, and is looking for engineers who are excited by ambitious goals and a demanding pace.
Schedule: 6 days/week
Weekdays: 10 AM–9 PM
Sixth day: 12 PM–7 PM
Interested?
If you're excited about building AI products from the ground up and want a role where you can have significant technical ownership early in your career, we'd love to hear from you.
Please include:
Resume
LinkedIn
GitHub
Current location
Brief overview of the most meaningful production system or project you've personally built

Work arrangement
No