Since our inception in 2000, we've seen remarkable growth, fueled by our mission to utilize the ... The AI Engineer will build AI-powered systems that automate and improve workflows for M3 USA ...
Since our inception in 2000, we've seen remarkable growth, fueled by our mission to utilize the ... The AI Engineer will build AI-powered systems that automate and improve workflows for M3 USA ...
Since our inception in 2000, we've seen remarkable growth, fueled by our mission to utilize the ... The AI Engineer will build AI-powered systems that automate and improve workflows for M3 USA ...
Since our inception in 2000, we've seen remarkable growth, fueled by our mission to utilize the ... The AI Engineer will build AI-powered systems that automate and improve workflows for M3 USA ...
Since our inception in 2000, we've seen remarkable growth, fueled by our mission to utilize the ... The AI Engineer will build AI-powered systems that automate and improve workflows for M3 USA ...
Since our inception in 2000, we've seen remarkable growth, fueled by our mission to utilize the ... The AI Engineer will build AI-powered systems that automate and improve workflows for M3 USA ...
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Remarkable Ai information
See salary details
$21.5K - $35.1K
1% of jobs
$35.1K - $48.7K
0% of jobs
$48.7K - $62.3K
3% of jobs
$62.3K - $75.9K
4% of jobs
$75.9K - $89.5K
10% of jobs
$94.4K is the 25th percentile. Wages below this are outliers.
$89.5K - $103K
19% of jobs
The median wage is $115.6K / yr.
$103K - $116.6K
14% of jobs
$116.6K - $130.2K
21% of jobs
$135.9K is the 75th percentile. Wages above this are outliers.
$130.2K - $143.8K
6% of jobs
$143.8K - $157.4K
6% of jobs
$157.4K - $171K
15% of jobs
$21.5K
$118K
$171K
How much do remarkable ai jobs pay per year?
What is Remarkable AI?
What are the key skills and qualifications needed to thrive as an AI engineer, and why are they important?
What are some common challenges faced by professionals working in AI product development at Remarkable AI, and how can new team members prepare for them?
What is the difference between Remarkable Ai vs Data Scientist?
| Aspect | Remarkable Ai | Data Scientist |
|---|---|---|
| Required Credentials | Typically requires knowledge of AI tools, programming, and data analysis | Requires degrees in computer science, statistics, or related fields, often with certifications in data analysis |
| Work Environment | Tech companies, AI startups, or product teams focusing on AI solutions | Research labs, tech firms, or corporate data departments |
| Industry Usage | Used in AI product development, automation, and machine learning applications | Applied in data analysis, predictive modeling, and business insights |
| Common Search & Comparison | Yes | Yes |
Remarkable Ai professionals focus on developing and implementing AI solutions, often requiring programming and AI-specific skills. Data Scientists analyze data to generate insights, requiring statistical and analytical expertise. While both roles work with data and AI tools, Remarkable Ai roles are more product and development-oriented, whereas Data Scientists focus on data analysis and modeling.
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Cities with the most Remarkable Ai job openings:
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The top searched job categories for Remarkable Ai jobs are:

Full-time
Medical, Dental, Life, Retirement, PTO
Posted 21 days ago
Job description
M3 USA is at the forefront of healthcare innovation, offering digital solutions across healthcare, life sciences, pharmaceuticals, and more. Since our inception in 2000, we've seen remarkable growth, fueled by our mission to utilize the internet for a healthier world and more efficient healthcare systems.
Our success is anchored in our trusted digital platforms that engage physician communities globally, facilitating impactful medical education, precise job placement, and insightful market research. M3 USA prides itself on a dynamic and innovative work environment where every team member contributes to global health advancements.
Joining M3 USA means being part of a dedicated team striving to make a significant difference in healthcare. We provide a unique opportunity for you to be at the cutting edge of healthcare innovation, shaping the future in a meaningful career. Embrace the chance to drive change with M3 USA.
Due to our continued growth, we are hiring for an AI Engineer.
Job Description
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.
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.
Qualifications
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.
Additional Information
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.
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About M3 USA
Sourced by ZipRecruiter
Industry
Recruiting and staffing services
Company size
201 - 500 Employees
Headquarters location
Washington, DC, US
Year founded
2014