Intone Networks Inc

Agentic AI

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Agentic AI Solutions Engineer, offering multiple openings with a contract length of "unknown" and a pay rate of "unknown". Key skills include Azure AI, API integration, and familiarity with agent frameworks. Industry experience in AI/LLM applications is required.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
March 27, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Remote
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🧠 - Skills detailed
#Observability #AI (Artificial Intelligence) #Langchain #Monitoring #Security #Azure #Scala #Cloud #Compliance
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 • Design and build agentic AI workflows that orchestrate APIs, tools, and enterprise data • Develop and deploy AI agents and Copilot-based solutions for business use cases • Integrate solutions with internal systems, APIs, and cloud platforms • Implement monitoring, observability, and evaluation frameworks for AI performance and reliability • Design multi-agent coordination patterns (shared state, orchestration, task routing) • Establish governance, security, and compliance controls for AI systems • Implement human-in-the-loop workflows for high-risk or regulated processes • Optimize solutions for performance, scalability, and cost efficiency Requirements • Experience building AI/LLM-based applications or agentic workflows • Strong understanding of APIs, integrations, and cloud platforms (Azure preferred) • Familiarity with agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or similar • Knowledge of AI system evaluation, monitoring, and observability • Understanding of AI security risks (prompt injection, data leakage, access control) • Ability to design production-grade, scalable AI solutions • Strong problem-solving, communication, and collaboration skills