↳Proven experience with Python and modern web development frameworks such as FastAPI or Flask for building RESTful APIs.
↳Strong hands-on experience with LLM orchestration frameworks, including LangChain, LlamaIndex, or direct LLM API integrations.
↳Deep understanding of Retrieval-Augmented Generation (RAG) architectures and semantic search systems.
↳Experience working with Vector Databases such as Qdrant, Milvus, Pinecone, Weaviate, or pgvector.
↳Solid knowledge of Prompt Engineering techniques and AI agent development through function calling and tool integration.
↳Experience with containerization using Docker and orchestration with Kubernetes.
↳Familiarity with enterprise cloud environments, particularly Google Cloud Platform (GCP) and/or Microsoft Azure.
↳Experience managing source control, CI/CD pipelines, and software delivery processes using GitLab.
↳Hands-on experience with LLM observability and monitoring platforms, particularly Langfuse, including prompt tracking, latency monitoring, token usage analysis, and user feedback collection.
