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. xsgimln Key Skills:

Python, LangChain, Semantic Kernel, AutoGen, CrewAI, RAG, LLMs, Prompt Engineering, Embeddings, Vector Databases, REST APIs, Microservices, Azure AI/AWS AI Services.

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