Artificial Intelligence Engineer

• Design and develop agentic AI solutions using LLMs such as GPT, Azure OpenAI, and Claude • Build multi-agent workflows with planning, memory, and tool-use capabilities. • Integrate APIs, enterprise systems, and knowledge sources into AI workflows. • Develop prompt engineering strategies and implement RAG pipelines. • Build and optimize AI solutions using vector databases such as FAISS, Pinecone, and Azure AI Search. • Develop REST APIs and microservices while ensuring scalability, security, and performance. • Key Skills: Python, LangChain, Semantic Kernel, AutoGen, CrewAI, RAG, LLMs, Prompt Engineering, Embeddings, Vector Databases, REST APIs, Microservices, Azure AI/AWS AI Services.