AI/ML Engineer

Build production-ready AI applications using Python and FastAPI. Design LLM pipelines including data ingestion, inference, and response generation. Leverage GCP tools like Vertex AI, Cloud Run/Functions, BigQuery, and Cloud Storage. Apply advanced prompt engineering techniques to enhance LLM outputs. Implement vector stores and embeddings for semantic search and RAG. Use orchestration frameworks (e.g., LangChain, LangGraph, CrewAI) for complex workflows. Integrate AI systems with enterprise platforms and maintain robust data flows. Follow best practices in coding, testing, and deployment within CI/CD pipelines. Continuously explore and recommend emerging tools and AI technologies.