Bachelor’s Degree in Computer Science, Engineering, or related technical fields. At least 7 years of hands-on Python experience building production grade systems and services. Strong background in FastAPI development, distributed systems, and backend architecture. Experience integrating AI or ML systems into production environments, including workflows involving LLMs or NLP components. Proficiency with CI and CD technologies, containerization, and deploying services to AWS and Azure. Strong understanding of data structures, type hinting, asynchronous programming, testing practices, and system performance optimization. Experience working orchestration platforms for product access to AI systems. Ability to communicate technical decisions clearly to cross functional stakeholders. Experience working with real-time or high throughput systems. Familiarity with MLOps workflows or model deployment pipelines. Exposure to LLM frameworks, inference infrastructure, or agent driven systems.