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At Hypercubic, we’re building AI systems that can understand, reason about, and rearchitect large-scale legacy applications. We work at the intersection of program analysis, knowledge extraction, and agentic systems, applied to some of the most critical enterprise software in the world. We’re looking for a true generalized specialist with unusually strong technical and product taste. You will work directly with the CTO to design, prototype, and productionize AI-powered systems from first principles. This is a founding role with meaningful ownership over architecture, product direction, and engineering culture. It is suited for someone with strong fundamentals and comfortable operating across abstraction layers, from low-level system reasoning to high-level product UX.
Job Responsibility:
Rapidly prototype new concepts and features to validate ideas before full implementation
Ship AI-driven features end to end, from model interaction to user-facing workflows
Set early engineering standards around testing, reliability, and code quality
Translate ambiguous problem statements into concrete experiments, constraints, and working systems
Lead architecture decisions and long-term technical direction with the CTO
Collaborate with a highly diverse group of subject matter experts and customers from various industries (banks, insurance, airlines, and more)
Requirements:
You care deeply about your work and the product
You are comfortable with uncertainty and enjoy figuring out what to build before how to build it
You think in systems and feedback loops, not just features
You can move fast and slow. Prototyping ideas in hours, then building enterprise-grade features to a high-quality bar
You want to become world-class at AI engineering
You have a bias for action and a track record of working in fast-paced environments with urgency
Nice to have:
Strong testing intuition, including TDD and property-based testing
Experience building and maintaining production-grade agentic or autonomous systems
Exposure to legacy systems (especially mainframes or COBOL), compilers, or program analysis techniques
Experience with Python, TypeScript, Next.js, Electron, and modern cloud infrastructure