Artificial Intelligence Engineer

Job Description

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• Design and develop agentic AI solutions using LLMs such as GPT, Azure OpenAI, and Claude

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• Build multi-agent workflows with planning, memory, and tool-use capabilities.

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• Integrate APIs, enterprise systems, and knowledge sources into AI workflows.

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• Develop prompt engineering strategies and implement RAG pipelines.

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• Build and optimize AI solutions using vector databases such as FAISS, Pinecone, and Azure AI Search.

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• Develop REST APIs and microservices while ensuring scalability, security, and performance.

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• 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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