Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up with a focus on Marketing.
Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.
What We Look for:
3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
Hands-on experience designing, building, and shipping AI-powered systems into production environments.
Strong proficiency in Python, SQL, and frontend frameworks such as React.
Proven experience designing and owning production-grade full-stack systems.
Experience working with distributed systems, internal platforms, or complex data workflows.
Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
Experience building AI-first platforms or internal products from scratch, including early architectural decisions.