AI Native Software Engineer
About The Position
The AI Native Software Engineer helps transform the software development process into an AI-first engineering model. The engineer uses AI tools as a primary development partner to turn business and technical requirements into working software more quickly while remaining responsible for quality, correctness, security, and production readiness. The role involves creating precise prompts and implementation plans, generating a significant portion of initial solutions with AI, and carefully validating and refining AI output for hallucinations, inaccurate assumptions, missing logic, security issues, and alignment with expected outcomes. The engineer designs AI-native development workflows and takes ownership of ensuring final software is reliable, maintainable, tested, and aligned with business expectations.
Requirements
- Strong software engineering skills.
- Hands-on experience using AI tools for coding, design, testing, documentation, debugging, and refactoring.
- Comfort working with ambiguity and breaking down requirements into AI-executable tasks.
- Ability to review AI-generated code and take full ownership of the final solution.
- Ability to validate software for correctness, quality, security, maintainability, and production readiness.
Responsibilities
- Use AI-assisted development tools to generate, test, document, refactor, and improve software solutions.
- Convert product and business requirements into clear technical prompts, implementation plans, and acceptance criteria.
- Generate 80–90% of initial solution drafts using AI tools, then review, validate, and refine the output.
- Detect and correct AI hallucinations, inaccurate assumptions, invalid code, security issues, and requirements gaps.
- Create automated tests to verify expected behavior and business outcomes.
- Ensure AI-generated code meets company standards for architecture, security, maintainability, performance, and documentation.
- Build reusable prompt templates and AI-native development workflows for common engineering tasks.
- Collaborate with product, QA, DevOps, architecture, and security teams to deliver production-ready solutions.
- Document prompts, assumptions, validation steps, risks, and final implementation decisions.
- Educate and guide other engineers in adopting AI-native software development practices.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
