Percient

5 jobs near Columbus, OH

Job Tile: Agentic AI Engineer with React & AWS Location: Wilmington, DE / Columbus, OH / Plano, TX * 14+ years of software engineering experience with strong expertise in Agentic AI, Python, react ...

Job Title: Amazon Connect Product Manager Location: Plano, TX ( Local to any JPMC office as in-person interview required) * Proven enterprise product management experience defining, launching, and ...

Amazon Connect Architect

Plano, TX · On-site

$60.50 - $79.75/hr

Job Title: Amazon Connect Architect Location: Plano, TX ( Local to any JPMC office as in-person interview required) * Proficiency in at least one modern programming language (e.g., Python, Java)

Job Title: Frontend Architect Location: Jersey City, NJ * Lead the design and development of modern, high-performance web experiences using React and the broader front-end ecosystem. This role is ...

Agentic AI Engineer

Percient Inc.

Plano, TX • On-site

Other

Posted 7 days ago


Job description

Job Tile: Agentic AI Engineer with React & AWS
Location: Wilmington, DE / Columbus, OH / Plano, TX
Job Description:
  • 14+ years of software engineering experience with strong expertise in Agentic AI, Python, react, AWS.
  • 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.