Staff Applied AI Engineer

6+ years of professional software engineering experience 3+ years focused on AI/ML projects Bachelor’s degree in computer science, software engineering, data science, or related field Proficiency in Python and SQL Experience designing, building, and deploying production-grade AI/ML solutions Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with MLOps/AI DevOps tools (e.g., MLflow, Kubeflow) Expertise with CI/CD pipelines, model observability, and scalable architectures

Developing and implementing end-to-end AI solutions Designing AI lifecycle management strategies Collaborating with cross-functional teams to identify AI opportunities Mentoring team members, conducting architecture/code reviews Building scalable, cloud-based AI pipelines