Skills/Experience:
- Strong hands-on experience in Python development.
- Experience building and deploying AI/GenAI applications in production environments.
- Knowledge of LLMs, Prompt Engineering, RAG, AI Agents, Vector Databases, Embeddings, and Semantic Search
- Experience with AI frameworks such as Lang Chain, Lang Graph, Llama Index, Semantic Kernel, or similar.
- Strong API and backend development experience using FastAPI, Flask, or Django.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Knowledge of Docker, Kubernetes, CI/CD pipelines, GitHub Actions, and modern engineering practices.
- Experience working with SQL and NoSQL databases, including vector stores.
- Strong understanding of software architecture, scalability, security, and performance optimization.
