
Build and deploy agentic AI solutions using LLMs, RAG, enterprise copilots, semantic search, intelligent automation, embeddings, vector databases and cloud platforms. The role involves developing end-to-end AI pipelines, integrating LLM APIs and agent frameworks, creating conversational analytics solutions, and delivering scalable AI systems for production environments.
Required Skills Strong SQL Data engineering Python for AI/agent workflows LLM APIs Prompt engineering Embeddings Vector databases Retrieval-Augmented Generation (RAG) Agentic AI architectures Copilot / chatbot frameworks MCP AWS / Azure / GCP Git CI/CD REST APIs Agile methodologies Communication and stakeholder management
Infor
Software Engineer
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3 weeks ago
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