Senior Software Engineer - AI-Driven Systems Lead

R1 RCM, Inc.; New York (NY); Vor Ort; USD 179.000 - 345.000; Vollzeit

Zusammenfassung

R1 RCM, Inc. is seeking a senior software engineer and team lead for its AI lab, R37, in New York and other hub offices. You will design, build, and scale frontend and backend systems, data pipelines, and AI components that power smarter revenue cycle solutions.

You’ll work with product managers, operators, and ML engineers to ship features tied to real outcomes, run experiments, and drive automation across complex workflows. A strong focus on clean code and production readiness is essential.

Qualifikationen

• 7+ years of software engineering experience.
• Experience leading projects and teams.
• Proven ability to own features end-to-end in production.
• Strong collaboration with product managers and operators.
• Experience scaling production systems and debugging performance issues.
• Interest in applied AI and deepening expertise.
• Commitment to clean code and production readiness.

Aufgaben

• Design, code, test, deploy, and operate frontend applications, backend services, data pipelines, and AI systems that power models and AI features.
• Run A/B tests and ship production features tied to real business outcomes.
• Partner with product managers and operators to turn workflows into AI-driven automations.
• Work with AI/ML engineers to build AI-native systems blending deterministic logic, ML models, and LLMs.
• Design and build secure, compliant, reliable systems at scale.

Kenntnisse

Software engineering

Technical leadership

User-centered design

Tools

Frontend applications

Backend services

Data pipelines

AI systems

Jobbeschreibung

R1 RCM, Inc. is seeking a senior software engineer and team lead for its AI lab, R37, in New York and other hub offices. You will design, build, and scale frontend and backend systems, data pipelines, and AI components that power smarter revenue cycle solutions.

You’ll work with product managers, operators, and ML engineers to ship features tied to real outcomes, run experiments, and drive automation across complex workflows. A strong focus on clean code and production readiness is essential.