Design, develop, and maintain AI-powered applications and backend services using Python.
Build and deploy LLM-based solutions including prompt engineering, RAG, tool calling, and workflow orchestration.
Develop scalable APIs and integrate AI models into business applications.
Implement AI safety, reliability, validation, and monitoring mechanisms.
Conduct testing, evaluation, and continuous optimization of AI systems.
Collaborate with cross-functional teams to translate business requirements into AI solutions.
Monitor production systems and drive performance, observability, and operational improvements.
Support model upgrades, prompt enhancements, and AI engineering best practices.