Founding Engineer

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

• Lead development of the core platform for AI agents, including triggers, tools, approvals, evaluations, memory, observability, and workflow execution.

• Own products end to end, from customer discovery and technical design through implementation, launch, and iteration.

• Build core Enterprise Intelligence features across the full stack.

• Develop AI-powered product features using LLM APIs, RAG, agent orchestration, and related technologies.

• Shape the product roadmap and technical architecture.

• Establish engineering practices and contribute to the company’s technical culture.

• Work directly with customers for discovery, debugging, and product feedback.

• Make technical decisions and move quickly in a highly autonomous startup environment.

Requirements

• 3-7 years of experience in full-stack engineering.

• 0-to-1 experience as a founder, founding engineer, or early-stage engineer.

• Experience shipping AI-powered product features in production.

• Experience working with AI labs or open-source environments is a plus.

• 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 an equivalent technical degree.

• Strong interest in the AI development ecosystem.

• Comfortable speaking directly with customers for discovery and debugging.

• High agency, strong ownership, and ability to work independently.

• 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.