Applied Ai Engineer (R37)

R1 RCM, Inc.; South Africa; Sur place; ZAR 2 313 000 - 4 461 000; Plein temps

Avantages offerts par ce poste

Top-of-market compensation

Bonus 10%

Flexible PTO

401(k) matching

Résumé du poste

R1 RCM, Inc. is seeking an Applied AI Scientist to translate healthcare workflows into scalable AI systems, designing agentic AI solutions and collaborating with clinical, product, and engineering teams.

You will prototype AI capabilities, evaluate model performance, and work across R1's AI labs to improve revenue cycle processes and outcomes.

Qualifications

• 4+ years in software or ML engineering or related field.
• Strong Python production experience with APIs and observability.
• Experience with LLM apps, AI agents, RAG, or prompt engineering.
• Ability to design evaluation frameworks and performance monitoring.

Responsabilités

• Design and build agentic AI systems for complex healthcare workflows.
• Develop long-horizon agent behavior across context construction, retrieval, tool use, memory, routing, verification, escalation.
• Define good metrics for clinical AI agents end-to-end, with rubrics and gold standards.
• Build evaluation loops using production logs, model outputs, and benchmarks.
• Prototype new AI capabilities from 0-1 and harden them into reliable production systems.
• Collaborate with research and ML engineering on model selection, fine-tuning, and experiment tracking.

Connaissances

Python proficiency

Production AI systems

LLM applications

Prompt engineering

Evaluation frameworks

Ambiguity tolerance

Outils

APIs

Observability tools

RAG

Tool calling

Structured outputs

Description du poste

At R1, we're transforming how healthcare works by combining nearly two decades of revenue cycle expertise with advanced technology, including analytics, AI, intelligent automation and workflow orchestration. We pair that technology with the irreplaceable expertise of our people to help hospitals, health systems and medical groups improve financial performance, simplify administrative complexity and create better experiences for patients and providers.

All Together Better defines our culture and the way we work. We're a diverse, global team united by a shared mission to make healthcare work better for all. Across technology, operations and support functions, our people bring deep expertise, empathy and ingenuity to the work we do. Here, collaboration fuels progress, adaptability sparks innovation and every voice can help shape what's next for R1 and the future of healthcare.

About R37

R37 is R1's AI innovation lab, building technology to transform healthcare.

Our flagship platform, Phare OS, uses AI and automation to improve critical pre-bill workflows, including authorization, utilization management, documentation and coding. By identifying and resolving issues before claims are submitted, Phare OS helps prevent denials, improve reimbursement and move revenue cycle work upstream.

What makes R37 different is the opportunity to build advanced AI at real-world scale. R1 works across 95 of the top 100 U.S. health systems, giving R37 access to the data, workflows and reach needed to make an immediate impact:

• 180M+ claims
• 1.2B+ workflow actions and outcomes annually

This is startup-level ownership with enterprise-level impact. You'll build technology that moves from idea to real healthcare environments, solving complex problems at scale and changing how healthcare works.

As our Applied AI Scientist, you will help transform complex healthcare workflows into reliable, production-ready AI solutions that improve clinical and revenue cycle outcomes. Every day you will design and optimize AI agents for healthcare use cases, evaluate and improve model performance through rigorous testing and feedback loops, and collaborate with clinical, product, and engineering teams to translate real-world challenges into scalable AI systems.

To thrive in this role, you must be highly proficient in Python, passionate about building dependable AI systems, comfortable navigating ambiguity, and excited about solving complex healthcare problems using agentic AI, machine learning, and LLM technologies.

Here's what you will experience working as an Applied AI Scientist:

• Design, build, and iterate on agentic AI systems for complex healthcare workflows, including documentation, coding, denial management, appeals, and revenue cycle automation.
• Develop long-horizon agent behavior across context construction, retrieval, tool use, memory, routing, verification, escalation, and human-in-the-loop review.
• Define what "good" looks like for clinical agents end-to-end, translating expert workflows into specifications, rubrics, gold standards, test cases, and clinically meaningful success criteria.
• Build rigorous evaluation and feedback loops using expert review, production logs, model outputs, and benchmarks to measure performance, regressions, edge cases, safety, reliability, provenance quality, and business impact.
• Prototype new AI capabilities from 0-1, then harden them into reliable, explainable, auditable production systems with clear contracts, monitoring, evidence, rationale, and performance gates.
• Partner with research and ML engineering teams on model selection, fine-tuning, reward modeling, distillation, synthetic data, post-training, and internal AI infrastructure, including instrumentation, experiment tracking, benchmarking, prompt/version management, and reproducible evaluation.

Required Skills:

• 4+ years of experience in software engineering, machine learning engineering, applied AI, research engineering, or a related field.
• Strong proficiency in Python and experience building production applications using APIs, structured data, testing, logging, and observability tools.
• Experience with LLM applications, AI agents, RAG (Retrieval-Augmented Generation), prompt engineering, tool calling, structured outputs, or machine learning systems.
• Experience designing evaluation frameworks, benchmarks, experimentation workflows, and performance monitoring for AI systems.
• Ability to work in ambiguous, high-impact environments and translate complex real-world problems into scalable AI solutions.
  

We are looking for candidates at various levels, ranging from Level 2 to Staff

• L2: Independently delivers a complete end-to-end project, owning design, implementation, and delivery of scoped work (Compensation Range for L2: $140k - $200k)
• L3: Leads delivery of larger projects, handling increased technical complexity and ambiguity, providing light guidance to L2s on shared work (Compensation Range for L3: $140k - $253k)
• Senior: Team Lead responsible for managing a portfolio of projects that contribute to major technical initiatives. (Compensation Range for Senior: $140k - $294k)
• Staff: Impact at the organizational level. Responsible for leading multiple teams or multiple broad initiatives simultaneously, ensuring that high-level technical goals are met across the entire organization. (Compensation Range for Staff: $140k - $350k)
• Top-of-market compensation, including bonus that starts at 10%
• Flexible PTO
• 401(k) matching

For this US-based position, the base pay range is $140,000.00 - $270,000.00 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.

This job is eligible to participate in our annual bonus plan at a target of 10.00%

The healthcare system is always evolving — and it's up to us to use our shared expertise to find new solutions that can keep up. On our growing team you'll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career.

Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team — including offering a