Senior Full Stack Software Engineer with Python/Java, AWS, React & Agentic AI - Onsite

MSYS Inc.
Plano, TX, United States
1 day ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Adobe Experience Manager Application Programming Interfaces (APIs) Amazon Web Services Application Performance Management Automation of Tests Continuous Integration Python (Programming Language) Machine Learning Systems Development Life Cycle Service Development Studio Amazon Simple Notification Service (SNS)
+12 more
Software Engineering Spring Cloud ReactJS AI Coding Agents Backend Agentic-AI AWS ECS Virtual Agents Restful APIs Model Context Protocol Amazon Simple Queue Service (SQS) Serverless Computing

Job description

Looking for an experienced Full Stack Software Engineer with strong expertise in Python or Java, AWS, React, and Agentic AI development. The role involves designing and building AI agent platforms using approved AI models and APIs, with a focus on orchestration, tool integrations, guardrails, and cloud-native application development., * Design, build, and maintain AI agent platforms.

  • Develop agent orchestration, tool integrations, guardrails, and evaluation capabilities.
  • Build cloud-native applications using AWS services.
  • Develop backend services using Python and Java.
  • Build React-based user interfaces and full-stack applications.
  • Develop REST APIs and enterprise integrations.
  • Implement CI/CD pipelines, automated testing, and deployment processes.
  • Monitor application performance, reliability, and production stability.
  • Leverage enterprise-approved AI coding assistants to improve engineering productivity.

Requirements

  • 7+ years of software engineering experience.
  • Strong Python and/or Java development.
  • React and full-stack development.
  • Hands-on AWS cloud experience.
  • REST APIs and backend service development.
  • CI/CD, SDLC, application resiliency, and security.
  • Experience with enterprise-approved AI-assisted development tools.

Preferred Skills

  • Agentic AI development.
  • Model Context Protocol (MCP).
  • AWS ECS, EventBridge, SNS, SQS, and serverless services.
  • Adobe Experience Manager (AEM).
  • AI agent orchestration and tool integrations.

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