Full-Stack Engineer (USA based, Robotics Domain)

About the Position

Full-Stack Engineer (USA based, Robotics Domain)

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About the Job

Miraxis is building production software for teams working with complex AI systems, operational data, and high-stakes technical decision-making. We are turning early customer workflows into a reliable, polished platform that helps teams inspect data, manage review processes, track evidence, and generate decision-ready outputs.

We are looking for a Full-Stack Engineer who can help us build the real product from end to end.

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Responsibilities

• Build customer-facing product features across frontend and backend.
• Design and implement clean workflows for uploading data, reviewing results, tracking decisions, and generating reports.
• Build polished, information-dense interfaces for technical users.
• Implement backend APIs, database models, validation logic, and background workflows.
• Work with product and engineering leadership to turn messy internal workflows into simple user-facing flows.
• Build dashboards, tables, forms, detail pages, review screens, and report views.
• Improve UX quality: loading states, empty states, errors, responsiveness, navigation, and visual clarity.
• Integrate authentication, permissions, file handling, and customer workspace concepts.
• Write tests and maintain high standards for correctness, usability, and maintainability.
• Collaborate closely with platform/infrastructure engineering on deployment, observability, and production readiness.

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Requirements

• Strong full-stack product engineering experience.
• Strong TypeScript and modern frontend framework experience (React or equivalent).
• Experience with Next.js or a similar modern web framework.
• Backend experience with Python, Node.js, Go, or similar.
• Experience designing and consuming REST or RPC-style APIs.
• Strong database fundamentals, especially PostgreSQL (or equivalent relational databases).
• Ability to build complex, data-heavy interfaces without making them feel cluttered.
• Good product judgment: you can spot when a workflow is confusing, not just when code compiles.
• Comfort working in early-stage ambiguity and making pragmatic architecture decisions.
• Strong debugging skills across frontend, backend, API, and data state.
• Clear written communication and care for maintainable code.

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Nice to Have

• Experience with FastAPI, SQLModel, Prisma, Django, Rails, or similar backend frameworks.
• Experience with Tailwind, design systems, component libraries, or data visualization.
• Experience building SaaS products for technical users.
• Experience with file uploads, large data artifacts, background jobs, and generated reports.
• Experience with AI/ML products, data platforms, review workflows, or internal tools.
• Experience with auth, RBAC, audit logs, customer workspaces, or multi-tenant systems.

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What Success Looks Like

• Users can move through complex workflows without needing internal explanation.
• Product screens are clear, fast, and reliable.
• Backend APIs and data models support real customer workflows cleanly.
• Features are shipped with enough test coverage and polish to survive production use.
• The product becomes easier to extend over time, not harder.
• You help turn rough prototypes into a coherent platform.

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Why Join

This is an early product engineering role with a lot of ownership. You will help define the core user experience, frontend architecture, backend workflows, and product quality bar for Miraxis.

You will work directly with founders and technical users, ship visible product, and help turn a powerful prototype into a production platform.

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Interview Process

1. Intro call on background, motivation, and product engineering style.
2. Technical deep dive on full-stack systems you have built.
3. Practical product-building exercise or code review.
4. Final working session with the team.

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About the Company

Miraxis

Miraxis is building production software for teams working with complex AI systems, operational data, and high-stakes technical decision-making. We are turning early customer workflows into a reliable, polished platform that helps teams inspect data, manage review processes, track evidence, and generate decision-ready outputs.