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. xhqgsiq
• 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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