S
Full Stack / AI Engineer
Stealth Startup
3 hours ago
Full-time
On-site
San Francisco, California, United States
We're looking for a
Full Stack / AI Engineer with 3-4 years of experience
to join our team and help build the intelligence layer of modern manufacturing.
This is a
zero-to-one role
where you'll take ownership of meaningful, ambiguous problems and build production AI agents used daily by sales teams, operators, and plant managers.
You'll work across the full product stack—from frontend and backend development to AI agents, integrations, infrastructure, and product experiences.
What You'll Work On
Visit a customer plant or office to understand existing workflows and translate real-world challenges into product requirements.
Build
end-to-end AI agents
for complex workflows such as quoting, pricing, inventory management, procurement, and scheduling.
Plan and build integrations with
ERP and CRM systems .
Prototype new product features, test them with real customers, and iterate based on feedback.
Build core product features across
frontend and backend .
Develop infrastructure that keeps AI agents reliable in real-world production environments.
Evaluate, integrate, and deploy new
AI capabilities and LLM models .
What We're Looking For
3-4 years of professional software engineering experience , with strong full-stack development experience.
Strong proficiency in
TypeScript, React, and Next.js
or similar modern web technologies.
Experience building and shipping
production-grade applications
across frontend and backend.
Hands-on experience working with
LLMs, AI APIs, AI agents, or AI-powered applications .
Ability to take ownership of a feature or problem from
concept → prototype → production .
Comfortable working across different areas of the stack, including UI, backend services, APIs, databases, integrations, and AI workflows.
Strong problem-solving skills and the ability to work effectively in
ambiguous, fast-moving environments .
Comfortable using AI-assisted development tools to accelerate straightforward tasks while maintaining strong engineering judgment.
Ability to explain complex technical systems clearly to both
technical and non-technical audiences .
Strong communication, collaboration, and product-thinking skills.
Based in
San Francisco or willing to relocate .
Comfortable working
in person
and collaborating closely with the team.
Our stack is focused on helping us ship quickly:
TypeScript
Next.js
React
LLM-powered applications and AI agents
OpenAI, Gemini, and Anthropic
We use a mix of models and choose the right one for each use case.
What You'll Get
Meaningful ownership
over product features and core architecture.
The opportunity to work on
real-world AI applications
in global manufacturing environments.
Direct exposure to customers, plants, and operational challenges.
Close collaboration with founders with deep
industry and domain expertise .
The opportunity to help shape our
engineering culture and product .
A fast-moving environment where you can see your work go from idea to production.
Interview Process
Introductory Call
Technical Take-Home
Paid Work Trial
Offer
We're building the
intelligence layer of modern manufacturing .
#J-18808-Ljbffr
Full Stack / AI Engineer with 3-4 years of experience
to join our team and help build the intelligence layer of modern manufacturing.
This is a
zero-to-one role
where you'll take ownership of meaningful, ambiguous problems and build production AI agents used daily by sales teams, operators, and plant managers.
You'll work across the full product stack—from frontend and backend development to AI agents, integrations, infrastructure, and product experiences.
What You'll Work On
Visit a customer plant or office to understand existing workflows and translate real-world challenges into product requirements.
Build
end-to-end AI agents
for complex workflows such as quoting, pricing, inventory management, procurement, and scheduling.
Plan and build integrations with
ERP and CRM systems .
Prototype new product features, test them with real customers, and iterate based on feedback.
Build core product features across
frontend and backend .
Develop infrastructure that keeps AI agents reliable in real-world production environments.
Evaluate, integrate, and deploy new
AI capabilities and LLM models .
What We're Looking For
3-4 years of professional software engineering experience , with strong full-stack development experience.
Strong proficiency in
TypeScript, React, and Next.js
or similar modern web technologies.
Experience building and shipping
production-grade applications
across frontend and backend.
Hands-on experience working with
LLMs, AI APIs, AI agents, or AI-powered applications .
Ability to take ownership of a feature or problem from
concept → prototype → production .
Comfortable working across different areas of the stack, including UI, backend services, APIs, databases, integrations, and AI workflows.
Strong problem-solving skills and the ability to work effectively in
ambiguous, fast-moving environments .
Comfortable using AI-assisted development tools to accelerate straightforward tasks while maintaining strong engineering judgment.
Ability to explain complex technical systems clearly to both
technical and non-technical audiences .
Strong communication, collaboration, and product-thinking skills.
Based in
San Francisco or willing to relocate .
Comfortable working
in person
and collaborating closely with the team.
Our stack is focused on helping us ship quickly:
TypeScript
Next.js
React
LLM-powered applications and AI agents
OpenAI, Gemini, and Anthropic
We use a mix of models and choose the right one for each use case.
What You'll Get
Meaningful ownership
over product features and core architecture.
The opportunity to work on
real-world AI applications
in global manufacturing environments.
Direct exposure to customers, plants, and operational challenges.
Close collaboration with founders with deep
industry and domain expertise .
The opportunity to help shape our
engineering culture and product .
A fast-moving environment where you can see your work go from idea to production.
Interview Process
Introductory Call
Technical Take-Home
Paid Work Trial
Offer
We're building the
intelligence layer of modern manufacturing .
#J-18808-Ljbffr