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Mid-level, popular backend role with broad AI/Cloud requirements and likely metro location increases competition.
Backend and model-integration skills are broadly transferable across industries, though domain knowledge is optional.
Explicit 5+ years plus mandatory Python, FastAPI, CI/CD, Docker, and cloud requirements create moderate filtering.
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Develop high-quality, scalable Python backend services and RESTful APIs using FastAPI for AI/ML model integration and deployment.
Collaborate with AI/ML engineers and cloud architects to integrate, deploy, and optimize machine learning, deep learning, and generative AI models in production.
Implement CI/CD pipelines and design observability solutions including logging, performance monitoring, and alerting for reliable, scalable systems.
Bachelor’s or Master’s degree in Computer Science, IT, or a related field.
5+ years of professional software development experience with a strong focus on Python programming.
Experience with backend web frameworks, preferably FastAPI, and integrating ML/DL models into production software.
Practical knowledge of CI/CD processes, containerization tools like Docker, version control with Git, and familiarity with cloud platforms such as AWS or Azure.
Experienced in developing scalable, high-performance backend systems supporting AI/ML workloads within cross-functional teams.
Proficient in software architecture principles including OOP, SOLID, and design patterns to ensure maintainable and extensible codebase.
Comfortable operating in cloud-native environments with exposure to MLOps, monitoring/logging stacks, and collaboration between software and AI/ML engineering disciplines.