Senior AI/ML Engineer — Remote, Flexible Time Off

Smile Digital Health; United States; Remote; USD 150.000 - 210.000; Vollzeit

Benefits dieser Stelle

Health benefits

Flexible time away

401K / learning programs

Zusammenfassung

Smile Digital Health is seeking an AI/ML expert to stay ahead of emerging technologies and lead design/implementation of AI solutions with the development team. You will write code, configure external components, and participate in client meetings and code reviews to drive collaborative problem analysis.

This remote role emphasizes strong architecture skills, end-to-end AI deployment, and engagement with knowledge graphs and RAG-based workflows.

Qualifikationen

• 6+ years of experience in software architecture, full-stack development, or AI engineering.
• Proven experience designing end-to-end software architectures and implementing advanced AI solutions like RAG and document parsing.
• Experience with agentic systems, coding platforms, and knowledge graph databases.
• Remote work environment and flexible time away.
• Competitive salary and health/medical benefits.
• RRSP/TFSA/401K employee contribution and learning programs.

Aufgaben

• Serve as the AI/ML subject matter expert, staying abreast of emerging technologies.
• Design and implement AI/ML solutions with the development team, writing code and configuring external components.
• Participate in client meetings, code reviews, and collaborative problem analysis.

Kenntnisse

Software architecture

Full-stack development

AI engineering

RAG

Document parsing

Knowledge graph databases

Tools

Coding platforms

Jobbeschreibung

Smile Digital Health is seeking an AI/ML expert to stay ahead of emerging technologies and lead design/implementation of AI solutions with the development team. You will write code, configure external components, and participate in client meetings and code reviews to drive collaborative problem analysis.

This remote role emphasizes strong architecture skills, end-to-end AI deployment, and engagement with knowledge graphs and RAG-based workflows.