Founding Engineer

Location: New York City
Company Stage of Funding: Seed Stage AI Infrastructure Startup
Office Type: Onsite
Salary:  $160,000-$260,000 Base Meaningful Equity

Company Description

We're representing a venture-backed AI infrastructure startup building a platform that enables business teams in highly regulated industries to safely deploy AI-powered automation. Their technology helps organizations in healthcare, financial services, insurance, and other compliance-sensitive sectors operationalize AI agents while maintaining enterprise-grade security, governance, and auditability.

Built by a team with deep experience delivering AI systems to some of the world's most demanding enterprises and institutions, the company is tackling one of the largest opportunities in enterprise software: enabling organizations to automate critical workflows without compromising compliance requirements. With strong early backing and significant market momentum, they are building foundational infrastructure for the next generation of agentic applications.

What You Will Do

• Design, build, and ship core platform capabilities that enable enterprise AI automation.
• Develop intelligent routing systems that optimize model selection, context management, caching strategies, and execution workflows.
• Build scalable backend services, APIs, and infrastructure that support mission-critical enterprise use cases.
• Create secure governance and compliance frameworks, including approval workflows, access controls, audit trails, and secrets management.
• Design and implement knowledge management systems that allow organizational context and memory to compound over time.
• Build systems for synthetic testing, monitoring, and validation of AI-generated code and workflows.
• Collaborate closely with customers and internal stakeholders to translate complex requirements into elegant technical solutions.
• Own projects end-to-end, from architecture and implementation through deployment and ongoing iteration.
• Help define engineering culture, technical standards, and long-term product direction as an early member of the team.

Ideal Background

• 2 years of experience as a Product Engineer, Full-Stack Engineer, Backend Engineer, or similar software engineering role.
• Strong engineering fundamentals with the ability to build production-quality systems independently.
• Experience working across the stack, including backend services, APIs, databases, and customer-facing applications.
• Strong product instincts and a passion for building user-centric software.
• Demonstrated ability to thrive in fast-paced, ambiguous startup environments.
• Excellent problem-solving skills and strong technical judgment.
• Proven track record of shipping products and features from concept through production.
• Desire to work closely with customers and contribute to both technical and product decisions.

Preferred

• Experience building AI-powered products, developer tools, workflow automation platforms, or enterprise software.
• Familiarity with modern AI systems, LLMs, agents, or orchestration frameworks.
• Strong UI/UX instincts and an appreciation for creating intuitive user experiences.
• Previous startup experience, particularly as an early engineer or founding team member.
• Experience working in highly regulated industries such as healthcare, fintech, insurance, or legal technology.
• Interest in developer productivity, enterprise automation, and AI infrastructure.

Compensation and Benefits

• $160,000-$260,000 base salary
• Meaningful early-stage equity package.
• Medical, dental, and vision coverage.
• 401(k) with company matching.
• Daily meal and coffee stipend.
• Beautiful office space in the NoMad neighborhood of New York City.
• Opportunity to join as one of the earliest employees and help shape company culture, product direction, and technical architecture.
• High ownership environment with direct access to leadership and significant opportunities for growth.
• Work on cutting-edge AI infrastructure solving real problems for enterprises operating in highly regulated environments.