Founding Engineer - AI/Automation for EdTech (NYC)

True; New York (NY); On-site; USD 160,000 - 200,000; Full time

Job summary

Founding Engineer position in New York City is available for an early-stage healthtech team. You will work directly with the founders to build software for clinical conversations, initially owning technical customer support, then automating workflows and advancing full-stack product development.

On-site, five days a week in New York, NY, you’ll influence product decisions, architecture, and AI agent workflows while delivering features used by educators and students.

Qualifications

• Zero to four years of experience in software engineering, full-stack development, or forward-deployed engineering.
• Experience as a founder, founding team member, or engineer at an early-stage startup.
• A software engineering background with full-stack experience; this role is not primarily focused on Android development.
• Comfort working autonomously, moving quickly, and taking ownership without a daily task list.
• Interest in AI agents, LLMs, and automation.
• Experience in education technology or working with universities is helpful.

Responsibilities

• Provide technical support across AI simulation, learning management, field experience, and compliance products.
• Diagnose and resolve issues reported by educators, students, and university administrators.
• Build automations and internal tools to reduce support workload and help the team scale.
• Develop and ship full-stack product features used by students and faculty.
• Contribute to product decisions, technical architecture, engineering culture, and AI agent workflows.

Job description

Founding Engineer position in New York City is available for an early-stage healthtech team. You will work directly with the founders to build software for clinical conversations, initially owning technical customer support, then automating workflows and advancing full-stack product development.

On-site, five days a week in New York, NY, you’ll influence product decisions, architecture, and AI agent workflows while delivering features used by educators and students.