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Agentic AI Engineer - Need Locals - F2F

Info Dinamica IncAlpharetta, GA🇺🇸United StatesPosted 16 Jul 2026

Why This Role Stands Out

This role offers a unique opportunity to pioneer cutting-edge agentic AI solutions within an enterprise environment, fostering significant professional growth and skill development. You'll thrive here if you possess expertise in multi-agent systems, RAG, and enterprise AI integrations, and are eager to contribute to impactful AI-driven automation. If you're a skilled Agentic AI Engineer looking to make your mark, we encourage you to apply.

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Position Title: Agentic AI Engineer
Location: Alpharetta, GA (5 Days Onsite) Local Candidates Only
Must-Have Skills:
Agentic AI
Multi-Agent Systems
Enterprise AI Integrations
Retrieval-Augmented Generation (RAG)
Workflow Automation & Orchestration
AI Governance, Security & Responsible AI
Job Summary:
We are seeking an experienced Agentic AI Engineer to design, develop, and deploy enterprise-grade AI agents and multi-agent systems. The ideal candidate will have hands-on experience building AI-powered automation solutions, implementing RAG architectures, integrating LLM applications with enterprise platforms, and developing scalable AI workflows. This role requires strong expertise in enterprise integrations, AI governance, and production-ready AI solutions.
Key Responsibilities:
Design, develop, and deploy AI agents and multi-agent systems for enterprise use cases.
Build and integrate AI solutions with enterprise platforms including JIRA, GitHub, ServiceNow, Microsoft Teams, SharePoint, databases, and third-party APIs.
Develop workflow automation and orchestration solutions using modern AI frameworks.
Build AI-accessible tools utilizing APIs, MCP, webhooks, OAuth, and event-driven architectures.
Design and implement Retrieval-Augmented Generation (RAG) solutions with semantic search and vector databases.
Develop dashboards and reporting solutions leveraging enterprise JIRA data.
Optimize LLM applications through effective context engineering, token optimization, memory management, and cost optimization.
Implement AI governance, monitoring, observability, security controls, and human-in-the-loop workflows.
Collaborate with cross-functional teams to deliver secure, scalable, and production-grade AI solutions.

Skills

OAuth
Jira
LLM

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