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Judge Group, Inc.

Agentic AI/Java/Python

Columbus, OH · On-site

Location: Columbus, OH Description: Agentic AI Consultant Plano, TX / Columbus, OH 6+months Contract TO Perm Job Description Required Skills / Must Have * Strong proficiency in Python and Java, with

SVATS

Lead Java Full Stack Developer with AI

Columbus, OH · On-site

$49 - $63.25/hr

Role: Tech Lead - Full Stack Java Developer with AI Location: Columbus, OH | New York, NY | Plano, TX | Wilmington, DE Work Model: 100% Onsite Experience: 10+ Years Employment Type: W2 Only Location

Welo Data

English AI Maps Trainer

Columbus, OH · Remote

$20.30/hr

Job Description: What if your knowledge English language could help improve the AI. WHAT YOU'LL DO * Evaluate the aesthetic quality, readability, and overall polish of digital map designs. * Assess

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As of Sep 12, 2026, the average yearly pay for ai in tx in the United States is $148,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,500.00 and $167,500.00 per year, depending on experience, location, and employer.

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Sr Agentic AI Engineer C2C jobs Plano, TX / Columbus, OH

Columbus, OH • On-site

Tech Mirrors
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$114K - $150K/yr

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This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Sr Agentic AI Engineer (Python + Typescript)

Location: Plano, TX / Columbus, OH (5 days onsite)

Job Description
  • 12+ years of software engineering experience with strong expertise in Python, AWS and Typescript.
  • Candidate should be owning end-to-end delivery with minimal supervision.
  • Extensive experience building AI applications using Python (FastAPI, Flask, LangChain/LlamaIndex) and TypeScript (Node.js, NestJS, Express) for backend services, AI agents, and orchestration layers.
  • Strong expertise in Agentic AI architecture, including agent design patterns, multi-agent systems, planning, reasoning, memory management, tool/function calling, and workflow orchestration.
  • Hands-on experience with orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, or similar enterprise AI frameworks
  • Hands-on experience designing and implementing Agentic AI solutions, autonomous workflows, and enterprise AI applications.
  • Experience building Retrieval-Augmented Generation (RAG), vector database integrations, tool calling, function calling, and LLM-based applications.
  • Ability to independently own user stories from requirement analysis through development, unit testing, peer reviews, Dev/UAT testing, deployment, and production support.
  • Experience developing scalable APIs, microservices, and cloud-native AI solutions on AWS.
  • Strong understanding of prompt engineering, AI governance, observability, evaluation frameworks, and model optimization.
  • Collaborate with Product Owners, Architects, Data Scientists, and Platform teams to deliver enterprise AI capabilities.
  • Mentor engineering teams and drive engineering excellence across the complete SDLC.
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