Note: The job is a remote job and is open to candidates in USA. Dice is seeking an experienced Agentic AI Engineer to build intelligent, autonomous AI solutions using Python and Microsoft Azure. The role focuses on developing AI agents, LLM applications, RAG pipelines, enterprise integrations, scalable services, and cloud-based AI workloads while applying responsible AI and governance practices.
Responsibilities
- Design, develop, and deploy Agentic AI applications using Python and Azure
- Build autonomous AI agents capable of planning, reasoning, tool usage, and workflow execution
- Develop LLM-powered applications using Azure OpenAI and related Azure AI services
- Implement RAG (Retrieval-Augmented Generation) pipelines using enterprise data
- Integrate AI agents with APIs, databases, enterprise applications, and external tools
- Work with frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or similar agentic AI frameworks
- Develop scalable Python services, APIs, and microservices
- Implement vector search and embedding solutions using Azure AI Search or equivalent technologies
- Deploy and manage AI workloads using Azure Functions, AKS, App Services, Docker, and CI/CD pipelines
- Apply responsible AI, security, monitoring, evaluation, and governance practices
- Collaborate with data scientists, software engineers, cloud architects, and business stakeholders
- Optimize AI applications for performance, scalability, reliability, and cost
Skills
- Experience: 15+ Years
- Work Authorization: US-based candidates preferred
- We are looking for an experienced Agentic AI Engineer with strong expertise in Python, Azure, Generative AI, LLMs, and AI agent frameworks to design and develop intelligent, autonomous AI solutions
- The ideal candidate will have hands-on experience building AI agents, multi-agent workflows, RAG pipelines, LLM applications, and enterprise AI solutions on Microsoft Azure
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