Intone Networks Inc

Agentic AI

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Agentic AI Solutions Engineer with a contract length of "unknown", offering a pay rate of "unknown". Key skills include experience with AI/LLM applications, Azure, API integrations, and agent frameworks. Strong problem-solving and collaboration skills are essential.
🌎 - Country
United States
πŸ’± - Currency
Unknown
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
April 27, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Remote
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🧠 - Skills detailed
#Langchain #Security #Observability #AI (Artificial Intelligence) #Azure #Compliance #Monitoring #Scala #Cloud
Role description
Openings: Multiple Roles Our client is seeking an Agentic AI Solutions Engineer to design and build production-grade AI agents and multi-step workflows using modern AI platforms (Azure AI, Copilot, Power Platform). This is a hands-on engineering role focused on delivering scalable, secure, and reliable AI-driven solutions in a fast-paced environment. Responsibilities & Qualifications β€’ Design and build agentic AI workflows that orchestrate APIs, tools, and enterprise data β€’ Develop and deploy AI agents and Copilot-based solutions for business use cases β€’ Integrate solutions with internal systems, APIs, and cloud platforms β€’ Implement monitoring, observability, and evaluation frameworks for AI performance and reliability β€’ Design multi-agent coordination patterns (shared state, orchestration, task routing) β€’ Establish governance, security, and compliance controls for AI systems β€’ Implement human-in-the-loop workflows for high-risk or regulated processes β€’ Optimize solutions for performance, scalability, and cost efficiency Requirements β€’ Experience building AI/LLM-based applications or agentic workflows β€’ Strong understanding of APIs, integrations, and cloud platforms (Azure preferred) β€’ Familiarity with agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or similar β€’ Knowledge of AI system evaluation, monitoring, and observability β€’ Understanding of AI security risks (prompt injection, data leakage, access control) β€’ Ability to design production-grade, scalable AI solutions β€’ Strong problem-solving, communication, and collaboration skills