Development Skill 3 Agent-Based AI Systems Skill 4 RAG / Vector DB / Embeddings Skill 5 API Development & System Integration...-based architectures (RAG, vector search, embeddings) Architect and implement LLM orchestration layers supporting content...
(Retrieval-Augmented Generation) pipelines using vector databases and semantic search technologies. Develop Agentic AI solutions... Protocol) Retrieval-Augmented Generation (RAG) Prompt Engineering Vector Databases Python Development Python FastAPI...
, CloudFormation Deep understanding of: ML algorithms, LLMs, embeddings, vector search, model optimization Proven experience...
Top Skills: GenAI | LLMs | Agentic AI | Python | Azure Cloud | Azure AI Search | MCP Protocol | Vector Embeddings | Cosmos... and optimize RAG, vector embedding, prompt engineering, and context engineering solutions Deploy and manage AI workloads on Azure...
, TensorFlow, scikit-learn) Hands-on experience with LLMs and modern AI stacks (OpenAI, Hugging Face, LangChain, vector DBs...
, and AI Agent frameworks. Experience integrating AI platforms such as OpenAI, Azure OpenAI, or Vertex AI. Knowledge of vector...
applications. Implement vector search and semantic retrieval solutions. Develop and maintain scalable APIs and microservices... Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) REST APIs and Microservices Git and CI/CD AWS, Azure, or GCP...
,Langchain Semantic Kernel, etc.) Experience in Python and modern AI/ML frameworks Knowledge of vector databases, embeddings...
). Familiarity with containerization and orchestration (Docker, Kubernetes). Experience with vector databases (e.g., Pinecone...
and agentic workflows using Python Design and implement RAG pipelines over enterprise data using embeddings and vector databases... and orchestration Proven experience with RAG architectures, embeddings, and vector databases Experience with agentic frameworks (e.g...