AI Native Software Engineer

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 gaps in requirements. 

Create automated tests to verify expected behavior and business outcomes. 

Ensure all 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. 

Help educate and guide other engineers in adopting AI-native software development practices. 

Strong software engineering background with experience building production-grade applications. 

Proficiency in one or more modern programming languages. 

Experience using AI coding tools or large language models for software development. 

Strong understanding of APIs, databases, cloud services, testing, CI/CD, and secure coding practices. 

Ability to write precise prompts and evaluate AI-generated outputs critically. 

Strong debugging, testing, code review, and problem-solving skills. 

Ability to identify hallucinations, incorrect logic, missing edge cases, and gaps between generated code and requirements. 

Excellent communication and documentation skills. 

Strong sense of ownership for final deliverables, regardless of whether the initial code was AI-generated.