Job Description
We are seeking an AI-Native Software Engineer to help transform our software development process into an AI-first engineering model. In this role, you will use AI tools as a primary development partner to convert requirements into working software solutions faster, while maintaining strong responsibility for quality, correctness, security, and production readiness.
You will be expected to take business and technical requirements, create precise prompts and implementation plans, generate a significant portion of the initial solution using AI, and then carefully validate the output for hallucinations, prompt accuracy, missing logic, incorrect assumptions, and alignment with expected outcomes. The goal is not simply to generate code quickly, but to deliver reliable, maintainable, and well-tested software using AI as an accelerator.
The ideal candidate is a strong software engineer with hands-on experience using AI tools for coding, design, testing, documentation, debugging, and refactoring. You should be comfortable working with ambiguity, breaking down requirements into AI-executable tasks, reviewing AI-generated code, and taking full ownership of the final solution.
Responsibilities
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Use AI-assisted development tools to generate, test, document, refactor, and improve software solutions.
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Convert product and business requirements into clear technical prompts, implementation plans, and acceptance criteria.
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Generate 80–90% of initial solution drafts using AI tools, then review, validate, and refine the output.
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Detect and correct AI hallucinations, inaccurate assumptions, invalid code, security issues, and gaps in requirements.
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Create automated tests to verify expected behavior and business outcomes.
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Ensure all AI-generated code meets company standards for architecture, security, maintainability, performance, and documentation.
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Build reusable prompt templates and AI-native development workflows for common engineering tasks.
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Collaborate with product, QA, DevOps, architecture, and security teams to deliver production-ready solutions.
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Document prompts, assumptions, validation steps, risks, and final implementation decisions.
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Help educate and guide other engineers in adopting AI-native software development practices.
Requirements
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Strong software engineering background with experience building production-grade applications.
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Proficiency in one or more modern programming languages.
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Experience using AI coding tools or large language models for software development.
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Strong understanding of APIs, databases, cloud services, testing, CI/CD, and secure coding practices.
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Ability to write precise prompts and evaluate AI-generated outputs critically.
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Strong debugging, testing, code review, and problem-solving skills.
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Ability to identify hallucinations, incorrect logic, missing edge cases, and gaps between generated code and requirements.
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Excellent communication and documentation skills.
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Strong sense of ownership for final deliverables, regardless of whether the initial code was AI-generated.
Preferred Experience
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Experience with GitHub Copilot, Cursor, ChatGPT, Claude, Gemini, Amazon Q Developer, or similar tools.
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Experience creating prompt libraries, AI development workflows, or internal engineering automation.
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Experience with LLM applications, AI agents, retrieval-augmented generation, or workflow orchestration.
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Experience leading process transformation or helping engineering teams adopt new development practices.
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Knowledge of AI governance, data privacy, security, and responsible AI usage.
What We Expect From This Role
This role is designed for an engineer who can operate in a future-facing development model. You will not only write code; you will design the way software is created with AI. You will be responsible for accelerating delivery while ensuring that every final output is correct, tested, secure, and aligned with business expectations.
Disclaimer: This Job Summary indicates the general nature and level of work expected of the incumbent(s). It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent. Incumbent(s) may be asked to perform other duties as requested. Greenway Health, LLC is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, age, gender, national origin, sexual orientation, disability, or veteran status.
Greenway Health does not accept unsolicited agency or third-party recruiter submissions unless the agency has been formally authorized in writing by Greenway Health. Any resumes or candidate information submitted without prior authorization will not be considered.
In addition, Greenway Health will never request personal financial information, payment of any kind, or sensitive data (such as Social Security numbers or bank details) during the application or interview process. If you are contacted by anyone claiming to represent Greenway Health and they request money, personal information, or anything unusual, please treat the communication as suspicious and report it immediately to [email protected].
Greenway Health is committed to maintaining a secure, transparent, and trustworthy hiring process.
Skills Required
- 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.
- 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.
Greenway Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Greenway Health and has not been reviewed or approved by Greenway Health.
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Leave & Time Off Breadth — An open/unlimited PTO policy and 10 paid holidays are part of the package. Remote‑work flexibility complements the time‑off structure for many positions.
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Healthcare Strength — Medical, dental, and vision coverage are offered to full‑time employees and dependents, alongside company‑paid life, AD&D, and disability. Wellbeing resources such as an assistance program and wellness initiatives are included.
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Retirement Support — A 401(k) with matching each paycheck is available, with company match vesting after one year. HSA options include employer contributions for eligible plans.
Greenway Health Insights
What We Do
Fueling our customers’ success is at the heart of Greenway Health’s work. Driven by our five-point customer pledge and our mission to be trusted advisers, we provide innovative technology, quality services, and strategic partnerships that help practices grow profitably, improve patient outcomes, run efficiently, and remain compliant with federal and state regulations. Greenway’s team of clinical, financial, and technology experts is committed to innovative solutions that keep people healthier and happier. We connect providers to the right information and insights, at the right place and time, so they can make patient-driven care a reality. Greenway partners with organizations and progressive providers across multiple specialties, which translates into millions of lives touched daily by our solutions.
