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Bachelor’s or master’s degree in Technology Management, Computer Science, Software Engineering, Information Systems, or a closely related technical or technology-business hybrid field. Equivalent foreign degrees acceptable subject to credential evaluation. Exceptional non-traditional backgrounds with a strong shipped portfolio will be considered.A demonstrated portfolio of shipped software products, including AI-powered applications, and the ability to discuss technical architecture, design trade-offs, and engineering decisions in detail.Experience either running your own business or working at a fast-scaling startup, with real exposure to how the business operated end-to-end.Working proficiency in modern software engineering practices, including version control, code review, deployment pipelines, and production debugging.Hands-on experience with one or more large language model providers and their APIs, tool-calling interfaces, and structured output mechanisms.Demonstrated experience designing prompt and tool-call architectures, conducting model selection across providers, and optimizing AI systems for cost and latency.Programming proficiency in Python and TypeScript or JavaScript, including familiarity with relevant frameworks for AI application development.Experience with relational databases, SQL, and modern data tooling.Strong written and verbal communication skills, including the ability to present technical work to non-technical stakeholders.Demonstrated ability to operate with autonomy in ambiguous, fast-moving environments.

Deadline:22 Oct 2026

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