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About This Role
At A Glance
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We are looking for a Senior AI Engineer to help build the next generation of AI\-powered tools to accelerate our internal ms. This is a software engineering role first where you should be comfortable owning backend systems, APIs, and production architecture. AI/agentic experience is the layer on top. This is a hands\-on, high\-ownership role at the center of a growing AI Ops function within Corporate Technology. You will design and build AI Assistants that automate real workflows, integrate with enterprise tools, and are grounded in sound software engineering practices. You will not be building demos. You will be building production\-grade systems that people at RVO Health will use every day.
The ideal candidate is comfortable working across the full AI development stack: from designing AI workflow automation and fine\-tuning prompts to building APIs and integrating third\-party platforms. You thrive in a fast\-moving environment, can translate a business workflow into a technical architecture, and care about delivering work that is reliable, maintainable, and secure.
This role reports into the Director of AI Ops \& Platform Engineering and works closely with the AI Ops team, security, IT, and platform engineering. It is an early and influential seat in a program that will accelerate the adoption and use of AI across RVO Health.
Where You'll Be
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To prioritize togetherness, culture, and accountability, RVO Health operates on an in\-office work schedule. We expect employees to work from our Charlotte, NC/Fort Mill, SC, Denver, CO or Minneapolis, MN office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish.
(This role is also open remotely for those candidates outside of a hub location)
What You'll Do
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- Design, build, and iterate on AI Assistants integrated with enterprise tools including Jira, Slack, and internal data sources
- Develop and maintain prompt engineering frameworks, evaluation pipelines, and feedback loops to continuously improve assistant quality and reliability
- Build and maintain APIs, backend services, and integrations that connect AI capabilities to the tools teams already use
- Collaborate with AI Ops, security, IT, and platform engineering teams to ensure systems are production\-grade, secure, and observable
- Contribute to a repeatable framework for building new AI Assistants as the program expands
- Enable the organization by building a marketplace of shared skills/plugins
- Evaluate new models, tools, and libraries and make informed recommendations on when and how to adopt them
- Identify and mitigate risks related to AI outputs, data handling, and responsible use
- Contribute to technical documentation, runbooks, and onboarding materials that help the team scale what gets built
What We're Looking For
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- 4\+ years of software engineering experience, with at least 1 year focused on building with AI and/or creating LLM\-powered applications
- Experience building and deploying apps in cloud infrastructure
- Hands\-on experience with LLM APIs (OpenAI, Anthropic, or similar) and the practical realities of prompt engineering at scale
- Experience leveraging Claude Code for agentic coding
- Experience integrating with third\-party APIs and enterprise tools (Jira, Slack, or similar platforms is a plus)
- Experience with software engineering best practices including: version control, testing, CI/CD, observability, and code review
- Strong communication skills and the ability to work with non\-technical stakeholders to understand workflows and translate them into technical requirements
Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.
- Starting Salary: $140,000 \- $175,000
+ *Note actual salary is based on geographic location, qualifications and experience*
- Health Insurance Coverage (medical, dental, and vision)
- Life Insurance
- Short and Long\-Term Disability Insurance
- Flexible Spending Accounts
- Paid Time Off
- Holiday Pay
- 401(k) with match
- Employee Assistance Program
- Paid Parental Bonding Benefit Program
- Pharmacy Benefits
- Income Protection Plans
- Pet Services Plans
- Mental Health Support
- Wellness Coaching
- HSA\- Health Savings Account
- Commuter Benefits
- Gym \& Fitness Center Discount Program
Who We Are:
Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health \& wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group's Optum Health. Together we're focused on delivering on our vision of a stronger and healthier world.
RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.
We offer competitive salaries and a comprehensive benefits program for full\-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact [email protected] .
We do not provide visa sponsorship for this role at this time.
\#LI\-Hybrid \#LI\-Remote
RVO Health Privacy Policy: https://rvohealth.com/legal/privacy
Salary Context
This $140K-$175K range is below the median for AI Software Engineer roles in our dataset (median: $190K across 219 roles with salary data).
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 3,823 AI roles we're tracking, AI Software Engineer positions make up 7% of the market. At RVO 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 $232,000 based on 797 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($157K) sits 32% below the category median. Disclosed range: $140K to $175K.
Across all AI roles, the market median is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($275,000) and AI Safety ($274,200). By seniority level: Entry: $97,880; Mid: $165,000; Senior: $227,400; Director: $247,800; VP: $250,000.
RVO Health AI Hiring
RVO Health has 1 open AI role right now. They're hiring across AI Software Engineer. Based in Raleigh, NC, US. Compensation range: $175K - $175K.
Location Context
Across all AI roles, 15% (590 positions) offer remote work, while 3,217 require on-site attendance. Top AI hiring metros: New York (2,643 roles, $211,000 median); San Francisco (2,168 roles, $253,000 median); Los Angeles (1,792 roles, $191,580 median).
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 3,823 open positions tracked in our dataset. By seniority: 112 entry-level, 1,798 mid-level, 1,516 senior, and 397 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (590 positions). The remaining 3,217 roles require on-site or hybrid attendance.
The market median for AI roles is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($275,000 median, 41 roles); AI Safety ($274,200 median, 55 roles); Research Engineer ($260,000 median, 434 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 3,823 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,629), Data Scientist (322), AI Software Engineer (279). 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 (112) are outnumbered by mid-level (1,798) and senior (1,516) 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 397 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (590 positions), with 3,217 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 $200,100. Top-quartile roles start at $253,500, and the 90th percentile reaches $307,500. 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 Engineering Manager roles lead at $275,000 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 (1,979 postings), Aws (1,190 postings), Azure (899 postings), Rag (839 postings), Gcp (726 postings), Pytorch (595 postings), Prompt Engineering (595 postings), Claude (540 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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