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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI-Native Product Engineer - **Company:** Cyclotron, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $120,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Code Generation, Cursor (Graphical User Interface Elements), Software Debugging, Software Architecture, Systems Integration, GitHub Copilot, Backend, Build Management, Front End Software Development, Api Design, Code Restructuring, GPT - **Published:** July 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b574007b3558db00 ## About the Role The ideal candidate can understand user needs, define effective workflows, make sound SaaS architecture decisions, use AI tools to accelerate high-quality development, validate and test generated code, communicate clearly, and move work forward independently in ambiguous environments., * Senior-level engineering experience with the ability to design, build, validate, and improve production software. * Strong product judgment, including the ability to understand users, workflows, pain points, business outcomes, and success criteria. * Demonstrated ability to operate in ambiguity, ask clarifying questions, challenge assumptions respectfully, and make progress without highly detailed tickets. * Advanced fluency with AI-assisted development tools such as Cursor, Claude, ChatGPT, GitHub Copilot, or similar environments. * Ability to orchestrate AI tools effectively rather than treating them as simple autocomplete or boilerplate generators. * Strong technical judgment across SaaS architecture, including data modeling, API design, frontend and backend design, permissions, integrations, scalability, error handling, maintainability, and security considerations. * Solid understanding of modern SaaS UX patterns and the ability to build interfaces that feel intuitive, polished, and product-quality. * Excellent written communication skills, with the ability to explain reasoning, tradeoffs, risks, blockers, and decisions clearly and concisely. * Ownership mindset with the ability to act as a force multiplier for the product and engineering organization. Additional Knowledge & Skills * Ability to define product workflows, key screens, data models, permissions models, user actions, edge cases, and implementation approaches from vague product goals. * Experience using AI for code generation, architecture comparison, debugging, refactoring, test creation, documentation, and rapid iteration. * Ability to identify hallucinations, flawed logic, architectural gaps, and quality issues in AI-generated output. * Strong instincts around SaaS admin workflows, multi-tenant considerations, auditability, notifications, readiness tracking, executive summaries, and operational dashboards. * Comfort evaluating tradeoffs between MVP scope, future scale, usability, performance, security, and maintainability. * Ability to communicate asynchronously with clarity, structure, and appropriate context for technical and non-technical stakeholders. * Strong candidates will show evidence of owning product, UX, architecture, and implementation together, rather than operating only as a backend, frontend, or ticket-based individual contributor. * This role is not a fit for someone who requires fully defined requirements, avoids ambiguity, cannot explain architectural decisions, has weak written communication, or cannot use AI tools at an advanced level. ## Description We are seeking a rare hybrid profile: a senior, product-minded, AI-native engineer who can own a product area end-to-end, from a vague business objective through thoughtful product definition, technical design, implementation, testing, and iteration. This person should operate less like a ticket-based contractor and more like a founding engineer assigned to a product area., * Own product areas from broad business goals through discovery, design, implementation, testing, and iteration. * Translate ambiguous objectives into clear user workflows, product requirements, technical plans, and implementation steps. * Question unclear requirements, identify missing pieces, surface risks and edge cases, and propose better product or technical approaches when appropriate. * Design and build polished, intuitive SaaS workflows, including dashboards, tables, filters, forms, detail views, configuration experiences, empty states, loading states, and error states. * Make thoughtful architecture decisions across data models, APIs, frontend architecture, backend architecture, permissions, integrations, state management, scalability, security, and maintainability. * Use AI-assisted development tools to accelerate coding, refactoring, debugging, test creation, documentation, and architectural exploration. * Critically review, validate, debug, and test AI-generated code to ensure production-quality implementation. * Communicate clearly and proactively about requirements, architecture, tradeoffs, implementation status, open questions, risks, and blockers. * Drive work forward independently while collaborating effectively with product, engineering, design, and business stakeholders. ## Related Videos - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) ## Related Articles - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Top AI Tools for Developers in 2025](https://www.wearedevelopers.com/magazine/560-top-ai-tools-for-developers-in-2025)