AI Engineer
Summary
Build production-ready GenAI solutions and multi-agent AI workflows as an AI Engineer, developing Python backends, React frontends, RAG pipelines, and integrating with Azure services. Responsibilities span MLOps/LLMOps, observability, governance, and performance optimization.
- Add monitoring logging tracing and observability
- Architect multi agent tool augmented AI workflows
- Build React web applications for AI use cases
- Design and build production ready GenAI solutions
- Develop Python APIs and backend services
- Develop data validation and data quality checks
- Ensure AI governance, security, and compliance
- Implement MLOps and LLMOps pipelines
- Implement rag pipelines
- Integrate AI apps with Azure services and enterprise APIs
- Optimize AI and agent performance using metrics
- Perform code reviews and offshore deliverable reviews
- Set up model and prompt versioning and rollback