Job Description
Responsibilities
- Leverage AI tools and frameworks not only for automation but as creative partners—experimenting with prompts, refining outputs, and integrating generative models into the development workflow.
- Demonstrate critical evaluation of AI-generated results, ensuring quality, maintainability, and reliability.
- Design, develop, and maintain production-grade software systems with senior-level code quality and architecture standards.
- Lead the design, development, and deployment of
AI-enabled systems
, including LLM-based agents and RAG pipelines. - Collaborate with cross-functional teams (PMs, data scientists, backend engineers) to define product scenarios and optimize AI workflows.
- Architect scalable solutions using modern cloud platforms (Azure) and MLOps tools (MLFlow, Kubeflow, CI/CD).
- Implement and optimize vector databases (e.g., FAISS, Pinecone, Qdrant) and retrieval systems for enterprise knowledge ...