Conduct applied AI/ML research focused on software engineering, code quality, testing, and maintenance. Design experimental prototypes, develop Python-based AI/ML solutions, collaborate with researchers, engineers, and product managers, publish findings, participate in code reviews, and apply DevOps practices to maintain reliable research infrastructure.

Develop and maintain scalable full-stack web applications integrating AI models and agentic systems. Responsibilities include designing RESTful APIs, backend services, databases, and end-to-end systems; ensuring responsive user experiences; writing unit and integration tests; debugging; participating in agile development and code reviews; and supporting deployment through containerization and CI/CD practices.

Own a portfolio of customers as a strategic technical advisor, guiding onboarding, adoption, maturity, value realization, and account health. Use AI-driven signals to identify risks and growth opportunities, translate business priorities into technical plans, lead outcome reviews, and provide renewal and expansion insights to Sales. The role requires technical fluency in DevOps, software engineering, CI/CD, Git, code quality, and security, combined with strong communication, analytical ability, and customer-facing judgment.