Senior Applied AI Engineer
Location: Remote
Compensation: To Be Discussed
Reviewed: Fri, Sep 18, 2026
This job expires in: 30 days
Job Summary
To support a growing Applied AI team, the full-time Senior Applied AI Engineer will design, build, and operationalize production-ready AI and machine learning systems remotely, collaborating with various stakeholders to deliver impactful solutions for enterprise customers.
Key Responsibilities
- Build and operationalize production-ready Applied AI and machine learning solutions, ensuring clean, maintainable, and well-tested code
- Own the end-to-end implementation of AI applications and workflows, including predictive ML, MLOps, and intelligent automation
- Drive the productionization of AI/ML systems by implementing robust data and model pipelines and ensuring effective integration with enterprise workflows
Required Qualifications
- 5+ years of experience in AI/ML engineering, software engineering, or a related technical discipline, with at least 3 years in production AI and machine learning solutions
- Strong programming experience in Python and solid working knowledge of SQL for building AI/ML pipelines and applications
- Proven experience building and productionizing AI/ML systems, including generative AI and MLOps solutions
- Hands-on experience developing production software, APIs, and data or model pipelines supporting training and inference
- Understanding of production AI/ML concerns such as evaluation, observability, security, and scalability
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