Note: The job is a remote job and is open to candidates in USA. Greenway Health is seeking an AI-Native Software Engineer to help transform their software development process into an AI-first engineering model. In this role, you will leverage AI tools to convert requirements into working software solutions while ensuring quality, correctness, and security.
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 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
Skills
- 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
- Experience with GitHub Copilot, Cursor, ChatGPT, Claude, Gemini, Amazon Q Developer, or similar tools
- Experience creating prompt libraries, AI development workflows, or internal engineering automation
- Experience with LLM applications, AI agents, retrieval-augmented generation, or workflow orchestration
- Experience leading process transformation or helping engineering teams adopt new development practices
- Knowledge of AI governance, data privacy, security, and responsible AI usage
Benefits
- Competitive pay
- Medical, dental and vision benefits
- Matching 401(k)
- Generous paid time-off programs
- Education reimbursement
- Growth potential for your career
- Corporate discounts
- Hybrid work arrangement if residing within a 26-mile radius of the corporate office
Company Overview