M3USA
AI Engineer (Remote)
Fort Washington, PA, United States · Remote (restrictions not stated) · Full-time
Apply on the employer’s site ↗See how well you match this job
You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.
About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerM3USA
- LocationFort Washington, PA, United States
- Work styleRemote (restrictions not stated)
- Employment typeFull-time
- Employer posted
The AI Engineer will build AI-powered systems that automate and improve workflows for M3 USA’s healthcare businesses. The primary customers are non-technical business teams. You will work closely with them to understand their processes and pain points, then design and implement solutions that make them more effective.
This role is centered on agentic coding: using AI coding agents (Claude Code, OpenAI Codex, OpenCode, or similar) to build software an order of magnitude more rapidly than traditional methods. You should be an expert practitioner who has shipped real applications this way, not just experimented with the tools. You should have solid engineering fundamentals and the ability to critically review and improve on AI-generated plans and thoughtfully consider technology frameworks and architectures to facilitate effective AI-enabled development. You can flexibly adapt to new tools and apply them creatively to create new products and services and solve business problems.
Show full description
As a Central Services position, you will work across M3 USA subsidiaries including Wake Research, PracticeMatch, The Medicus Firm, and others.
This position will report to the CTO (Brian Hooper).
Essential Duties and Responsibilities:
Agentic Development & Automation:
- Use AI coding agents (Claude Code, OpenAI Codex, OpenCode, or similar) to rapidly build and iterate on production applications. You should be comfortable building full-stack applications in days or hours, not weeks.
- Automate business workflows and processes by building custom tools, scripts, and integrations that reduce manual work.
- Stay current with the latest agentic coding techniques, tools, and best practices. Evaluate emerging capabilities and share informed opinions on what works in production.
AI Solutions Development:
- Develop LLM-based applications including document processing, intelligent assistants, and data extraction workflows.
- Create proof-of-concepts to demonstrate feasibility and business value of AI initiatives.
- Deploy AI applications to production and support real end users. Monitor usage, gather feedback, and iterate.
Requirements & Stakeholder Communication:
- Translate business needs into technical requirements by observing how people actually work, not just what they ask for.
- Communicate progress and tradeoffs clearly to non-technical stakeholders.
Operations & Governance:
- Ensure AI solutions meet security, privacy, and compliance requirements, which is particularly important given healthcare data.
- Monitor and maintain deployed solutions; iterate based on user feedback.
- Manage costs and provide input on AI tools and platform selection.
Required:
- Bachelor's degree in computer science or related field OR equivalent work experience
Knowledge, Skills, Abilities:
- Demonstrated agentic coding expertise: Extensive hands-on experience using Claude Code, OpenAI Codex, OpenCode, or similar AI coding agents. You should have built multiple applications this way and be able to discuss specific techniques, workflows, and tradeoffs.
- Portfolio of AI-developed projects: Tangible examples of applications you’ve built using agentic coding. We want to see GitHub repos, deployed demos, or production systems that show your ability to ship with AI assistance.
- Production deployment experience: You have deployed AI-powered applications that are used by real end users (not just prototypes). You understand the operational challenges of maintaining AI systems in production.
- Workflow automation experience: Track record of automating manual processes, whether through custom scripts, integrations, or low-code platforms.
- Technical foundations: Python, TypeScript, web application development, SQL and databases, LLM APIs (Claude, OpenAI), prompt engineering, context engineering, REST APIs. Experience with cloud infrastructure (AWS, GCP, or Azure). Comfortable learning new languages and frameworks quickly with AI assistance.
- AI fundamentals: Understanding of underlying AI technologies including transformers, neural networks, agentic loops, and context, among other topics. You should be able to reason about model capabilities and limitations based on architectural understanding.
- Agentic systems experience: Hands-on experience building agentic workflows, multi-agent systems, or AI assistants with tool use. Understanding of when to use agentic patterns versus simpler approaches.
Benefits:
A career opportunity with M3 USA offers competitive wages, and benefits such as:
- Health and Dental
- Life, Accident and Disability Insurance
- Prescription Plan
- Flexible Spending Account
- 401k Plan and Match
- Paid Holidays and Vacation
- Sick Days and Personal Day
*M3 reserves the right to change this job description to meet the business needs of the organization
M3 USA is an equal opportunity employer, committed to the principles of inclusion and diversity for all employees and to providing employees with a work environment free of discrimination and harassment.
All employment decisions at M3 USA are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical or mental disability, medical history or genetic information, sexual orientation, gender identity and/or expression, marital status, past or present military service, family or parental status, or any other status protected by the federal, state or local laws or regulations in the locations where we operate.
#LI-MM1
#LI-Remote
Check your resume against this job Free, no sign-up. Nothing you paste is stored.
Staying safe while you apply
- Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
- Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
- Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.
Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.
Preparing for this role with ROLIVA
- Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
- Prepare honestly.
Build interview stories and application drafts from your own evidence.
- Keep track.
Save the role and record your own application status and follow-ups.
Machine learning engineer jobs in United States
ROLIVA currently lists 429 open roles like this in United States.
Employers hiring for this
- Capital One Financial93 open roles
- General Motors22 open roles
- Unitytech13 open roles
- Adobe10 open roles
- RELX10 open roles
Top skills asked for
Listings whose description mentions each term. A mention is not a requirement.
- Python366 postings
- Machine learning310 postings
- AWS220 postings
- PyTorch216 postings
- LLM210 postings
- Azure172 postings
- Java168 postings
- Kubernetes113 postings
Advertised salary for this role here
These are advertised ranges, not what people are paid.
- USD a year, after annualising120,000–400,000 (28 listings, 17 employers)
At a glance
- Work styleRemote (restrictions not stated)
- Employment typeFull-time
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.