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Microsoft Agentic AI Developers

Apolis
  • ๐Ÿ‡บ๐Ÿ‡ธ United States
  • On-site
  • 1 day ago
  • $50 โ€“ $60 / hour
  • Python
  • C#
  • Azure OpenAI
  • RAG
  • Semantic Kernel
  • LangGraph
  • AutoGen
  • CrewAI
  • JSON
  • CI/CD
  • Devops
  • AI
  • React.js
  • Azure AI
  • Foundry
  • Azure Functions
  • App Services
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Position Title:Microsoft Agentic AI Developers
Location:Nashville, US (Onsite)
Duration:Long Term Contract
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Required Skills:

  • Strong proficiency in Python and/or C#
  • Hands-on experience with Azure OpenAI Service
  • Experience with RAG architectures and vector databases
  • Knowledge of Agentic AI concepts: agents, tools, memory, orchestration
  • Experience with Semantic Kernel, LangGraph, AutoGen, CrewAI, or similar frameworks
  • Solid understanding of LLMs, prompt engineering, and structured outputs (JSON)
Preferred Qualifications:
  • Experience building production-grade, secure, scalable applications
  • Familiarity with CI/CD, DevOps, and cloud-native development
Role and responsibilities:
Agentic AI Design & Development
  • Design and implement single-agent and multi-agent AI systems using Agentic AI patterns (Planner/Worker/Reviewer, ReAct, Plan-Execute).
  • Build AI agents that can reason, plan, call tools, retrieve enterprise knowledge, and execute tasks autonomously.
  • Develop agent memory strategies (short-term, long-term, vector-based).
Azure AI & Platform Engineering
  • Develop solutions using Azure OpenAI, Azure AI Foundry, Azure AI Search, and Azure Functions / App Services.
  • Implement RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector databases.
  • Integrate AI agents with enterprise systems, APIs, databases, and workflows.
Multi-Agent Orchestration
  • Orchestrate AI agents using frameworks such as Semantic Kernel, LangGraph, AutoGen, or equivalent.
  • Design agent communication, hand-offs, error handling, and state management.
  • Implement human-in-the-loop workflows, approvals, and guardrails.
Responsible AI & Governance
  • Apply Responsible AI principles, including explainability, monitoring, safety, and data security.
  • Ensure compliance with enterprise and healthcare data standards.
  • Implement logging, observability, and feedback loops for agent performance.
Collaboration & Enablement
  • Collaborate with product managers, architects, and domain SMEs to translate business workflows into Agentic AI solutions.
  • Contribute to internal Agentic AI accelerators, reusable components, and best-practice documentation.
  • Support developer enablement and adoption programs for Agentic AI.

Microsoft Agentic AI Developers ยท Apolis

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