Founding Engineer
Summary
Founding Engineer at Ember AI builds an Enterprise Intelligence platform from scratch — leading core platform development for AI agents (triggers, tools, approvals, evaluations, memory, observability, workflow execution), owning products end to end, and shaping the product roadmap and architecture. The role spans product, infrastructure, agents, evaluations, and customer workflows, using LLM APIs,
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.
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Strong interest in the AI development ecosystem.
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Comfortable speaking directly with customers for discovery and debugging.
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High agency, strong ownership, and ability to work independently.
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Comfortable working across the technology stack rather than in a narrow specialization.
Preferred Technologies
RAG, Agent Orchestration, Agentic Systems, Agentic Workflows, Agent Frameworks, LLM APIs, AI Agents.