- 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.