Career Renew is recruiting for one of its clients a Founding Engineer, AI Platform - this is a hybrid position in San Francisco. Salary range: 180-250K plus benefits plus equity.
We are building Enterprise Intelligence: an AI-native workspace that turns a company's meetings, email, documents, Slack, and operational systems into durable memory, proactive agents, and customer-specific workflows.
We are looking for a Founding Engineer with 3-7 years of experience to join our founding team and help build their Enterprise Intelligence platform from the ground up. You are an entrepreneurial, product-minded full-stack engineer who has lived the 0-to-1 journey before—whether as a founder, founding engineer, or early technical hire. You thrive in ambiguity, talk directly with customers, and ship production-quality AI-powered products quickly. This is a true 0-to-1 role where you'll work across product, infrastructure, agents, evals, and customer workflows, turning early customer pull into a durable platform.
What will you be doing?
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Lead the core platform development for agents, including triggers, tools, approvals, evals, memory, observability, and workflow execution
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End to end product ownership—from customer discovery and technical design through implementation, launch, and iteration
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Work across the full stack to build core Enterprise Intelligence surfaces
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Shape the product roadmap, technical architecture, engineering practices, and culture of the company
Requirements:
Seniority
3 - 7 years of experience in full-stack engineering, AI-native
Work experience
0-to-1 experience as a founder or founding/early engineer at a startup
ML background: shipped AI-powered product features in production
Worked on products at an AI lab / open-source environment (Nice-to-have)
Education
BS in Computer Science or equivalent technical degree (Nice-to-have)
Hard skills
Full-stack proficiency
AI-native; experience with LLM APIs, RAG, agent orchestration, or evals (Nice-to-have)
Soft skills
Immersed in the AI development ecosystem; opinionated/passionate about future of coding with AI
Comfortable speaking directly with customers for discovery and debugging (Nice-to-have)