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Agentic Ai Engineer Jobs Near Me

AI experience: Agentic AI and traditional AI are required for this role. * Enterprise with orchestration tools example n8n * Strong programming + AI Solution design * AI Framworks: LangChain ...

New

AI experience: Agentic AI and traditional AI are required for this role. * Enterprise with orchestration tools example n8n * Strong programming + AI Solution design * AI Framworks: LangChain ...

New

Agentic AI Concepts * Large Language Models (LLMs) * AI Agents & Prompt Engineering * Azure Cloud Services & Platforms * Full Stack Development * Low-Code / No-Code Automation Solutions * Process ...

Lead AI Engineer

Columbus, OH · On-site

$96K - $181K/yr

Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to ... Establish engineering best practices for AI solution development, testing, deployment, and ...

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How much do agentic ai engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for agentic ai engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.
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A map of the United States highlighting the number of Agentic Ai Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Agentic Ai Engineer job openings in each state, with California having the most at 2 and Alaska the least at 0.

Agentic AI + Java/Python - Only W2

Info Dinamica Inc

Columbus, OH • On-site

Other

Posted 6 days ago


Job description

Role: Agentic AI + Java/Python
Location: Columbus, OH / Plano, TX (Onsite from Day 1)
Job Type: W2 Contract
Primary Skills: Senior AI Engineer, Agentic Systems, Production Agentic AI, Java, Python
Role Summary:
  • The Senior AI Engineer, Agentic Systems will design, build, deploy, and operate production-grade agentic AI systems that support enterprise-scale use cases.
  • The role emphasizes shipped production experience, system reliability, orchestration, monitoring, debugging, and the ability to expose enterprise capabilities as tools or skills for LLM-powered agents.
Required Qualifications:
  • 7+ years of software engineering experience, with demonstrated experience building and shipping production systems.
  • Hands-on production experience with agentic AI or GenAI applications, including deployment, monitoring, debugging, and operating agents at scale.
  • Strong Python engineering skills, with the ability to work effectively in production AI and agentic system environments.
  • Java experience or willingness to work daily within a Java service layer, especially where enterprise systems require integration with existing backend services.
  • Experience with agent frameworks and orchestration technologies, including LangChain and/or LangGraph.
  • Familiarity with production infrastructure for AI systems, including Kubernetes-based deployment environments.
  • Ability to explain shipped system architecture and failure modes, including what was deployed, how it was monitored, where it failed, and how issues were resolved.
Preferred Qualifications:
  • Experience with LangGraph as a production orchestration layer.
  • Experience with vLLM or comparable model-serving infrastructure.
  • Experience in regulated-industry or financial-services technology environments, especially where enterprise scale and production-path stakes are important.
  • Experience working with business stakeholders to deliver end-to-end AI use cases, not only platform or prototype work.