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About This Role
You Belong at Greenway
Bring your best and truest self. We celebrate what makes us different and what brings us all together. At Greenway Health, we are committed to an inclusive environment and a culture of belonging as we pursue our purpose of healthier communities, successful providers, and empowered patients. We are united in our goal to build the future of healthcare technology. Join us.
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.
Essential Duties \& 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.
Requirements
- 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.
Important Notice Regarding Recruiting Practices
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 Recruiting@greenwayhealth.com.
*Greenway Health is committed to maintaining a secure, transparent, and trustworthy hiring process.*
Education and Experience
- 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.
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.
Work Environment/Physical Demands
- While at work, this position is primarily a sedentary job and requires that the associate can work in an environment where they will consistently be seated for most of the workday
- This role requires that one can sit and regularly type on a keyboard most of their workday
- This position requires the ability to observe a computer screen for extended periods of time to observe their own and others’ work, as well as in\-coming and out\-going communications via the computer and/ or mobile devices.
- The role necessitates the ability to listen and speak clearly to customers and other associates
Here’s what we can offer you in exchange for your amazing work:
- Competitive pay
- Medical, dental and vision benefits
- Matching 401(k)
- Generous paid time\-off programs
- Education reimbursement
- Growth potential for your career
- Corporate discounts
At Greenway, we strive to imagine, empower, engage, and inspire. Join us!
To learn more about Greenway, take a video tour of our office, and meet our employees, visit us at www.GreenwayHealth.com/careers.
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.
While this position is primarily remote, please note that if you reside within a 26\-mile radius of our corporate office, you will be required to work in a hybrid capacity. This means you will be expected to work on\-site at the corporate office for part of the week and remotely for the remainder. This hybrid arrangement is designed to foster team collaboration and engagement. Our corporate office is located at 4301 Boy Scout Blvd, Tampa, FL 33607\. Please consider your proximity to this location when applying.
If you are a resident of a state that requires pay transparency, please email us at recruiting@greenwayhealth.com to receive compensation and benefits information for this role. Be sure to include the Job ID in the subject line of your email.
Role Details
About This Role
AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.
The challenge is building reliable systems around inherently unreliable components. Models are probabilistic. They'll give different answers to the same question. They hallucinate. They're slow. They're expensive. Your job is to build an application layer that handles all of this gracefully while delivering a product that users trust and enjoy.
Across the 3,708 AI roles we're tracking, AI Software Engineer positions make up 7% of the market. At Greenway Health, this role fits into their broader AI and engineering organization.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
What the Work Looks Like
A typical week includes: building API endpoints that serve model inference with caching and fallback logic, designing the data pipeline that feeds context to a RAG system, implementing streaming responses in the frontend, debugging a race condition in the async inference pipeline, and optimizing database queries for the vector search layer. It's full-stack engineering with AI at the center.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
Skills Required
Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.
Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.
Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
Compensation Benchmarks
AI Software Engineer roles pay a median of $219,250 based on 424 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $200,000.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
Greenway Health AI Hiring
Greenway Health has 2 open AI roles right now. They're hiring across AI Software Engineer, AI/ML Engineer. Based in Remote, US.
Remote Work Context
Remote AI roles pay a median of $185,334 across 717 positions. About 14% of all AI roles offer remote work.
Career Path
Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.
From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.
If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.
What to Expect in Interviews
Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.
When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
AI Hiring Overview
The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
The AI Job Market Today
The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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