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AI Engineer

Percient Inc.Plano, TX🇺🇸United StatesPosted 9 Sept 2026

Why This Role Stands Out

This hybrid AI Engineer role offers immense growth potential as you'll own end-to-end delivery of cutting-edge agentic AI applications using Python and AWS. You'll thrive here if you have extensive experience in AI architectures, cloud-native solutions, and a passion for building autonomous workflows. Join a dynamic team at Percient Inc. and shape the future of AI!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Plano, TX, United States
Posted
21 hours ago
ExpressFastAPIFlaskMicroservicesNestJSNode.jsAWSLLMPythonReactTypeScript

Job Description

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

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