Founding Engineer
Founding engineer building an Enterprise Intelligence AI platform from 0-to-1, working across the full stack on AI agents, LLM APIs, RAG, and agentic workflows in an early-stage startup.
- Compensation
- $180K–$250K / yr
- Location
- San Francisco, California, United States
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 3-7 years of full-stack engineering experience
- 0-to-1 experience as a founder or early-stage engineer
- Experience shipping AI-powered product features in production
- Strong full-stack engineering capabilities
- Hands-on experience with LLM APIs, RAG, agent orchestration, agentic workflows, or evaluations
- Bachelor's degree in Computer Science or equivalent
- Strong interest in the AI development ecosystem
- Comfortable speaking directly with customers for discovery and debugging
- High agency, strong ownership, ability to work independently
- Comfortable working across the full technology stack
Nice to have
- Experience with AI labs or open-source environments
Full description
Job Title: Founding Engineer
Company: Ember AI
Location: Remote / San Francisco, CA
Work Arrangement: Fully remote; hybrid collaboration possible for SF Bay Area candidates
Salary: $180,000 - $250,000
Employment: Full-time
Equity: Competitive equity
Job Description
Ember AI is looking for a Founding Engineer to help build its Enterprise Intelligence platform from the ground up. This is a true 0-to-1 role for an entrepreneurial, product-minded full-stack engineer who has experience building AI-powered products and thrives in ambiguity.
You will work across product, infrastructure, agents, evaluations, and customer workflows, turning early customer demand into a scalable AI platform.
Responsibilities
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Lead development of the core platform for AI agents, including triggers, tools, approvals, evaluations, memory, observability, and workflow execution.
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Own products end to end, from customer discovery and technical design through implementation, launch, and iteration.
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Build core Enterprise Intelligence features across the full stack.
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Develop AI-powered product features using LLM APIs, RAG, agent orchestration, and related technologies.
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Shape the product roadmap and technical architecture.
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Establish engineering practices and contribute to the company’s technical culture.
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Work directly with customers for discovery, debugging, and product feedback.
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Make technical decisions and move quickly in a highly autonomous startup environment.
Requirements
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3-7 years of experience in full-stack engineering.
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0-to-1 experience as a founder, founding engineer, or early-stage engineer.
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Experience shipping AI-powered product features in production.
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Experience working with AI labs or open-source environments is a plus.
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Strong full-stack engineering capabilities.
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Hands-on experience with LLM APIs, RAG, agent orchestration, agentic workflows, or evaluations.
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Bachelor’s degree in Computer Science or an equivalent technical degree.