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# Software Engineer, Senior

- **Company:** Infor Inc.
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Code Review, Python (Programming Language), Scrum Methodology, Build Management, AI Platforms, AngularJS, Cloud Integration
- **Published:** September 9, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18262818?backUrl=%2Fcareer%2F18262818%2FSoftware-Engineer-Senior-Georgia-Atlanta

## About the Role

* Experience delivering production software in an engineering environment.
 * Experience using an AI-assisted coding tool in daily development work, such as Claude Code, AWS Kiro, OpenAI Codex, or a comparable tool.
 * Proficiency with Python and full-stack development using Angular or a comparable JavaScript framework.
 * Working knowledge of AWS services such as Bedrock, SageMaker, Lambda, and EKS.
 * Experience with LangChain, LangGraph, or a comparable agentic framework.
 * Experience designing solutions from problem statements and documenting implementation considerations.
 * Understanding of responsible AI use, including evaluating outputs, recognizing limitations, and identifying where AI may be applied appropriately.
Preferred Qualifications:

 * Experience with Anthropic Claude API.
 * Experience with Model Context Protocol.
 * Experience contributing to systems with explainability requirements.
 * Experience contributing to systems with observability requirements.
 * Experience contributing to systems with guardrail or prevention control requirements.
 * Experience collaborating with engineering leads, product partners, or Scrum teams.
 * Experience communicating technical trade-offs to technical and non-technical stakeholders.

## Description

The Senior Full Stack Engineer will design and build services and platform features for the Gen AI Platform Improvements initiative. This role supports production software delivery across back-end services, front-end experiences, cloud integrations, and AI governance capabilities.
A Typical Day in the Life Includes:

 * Design and build production services using Python and front-end features using Angular or a comparable JavaScript framework.
 * Build and integrate platform capabilities using AWS services such as Bedrock, SageMaker, Lambda, and EKS.
 * Develop features that support AI governance needs, including explainability, observability, and prevention controls.
 * Evaluate technical options, document trade-offs, and recommend implementation approaches for platform components.
 * Integrate AI model capabilities using tools such as Anthropic Claude API and Model Context Protocol.
 * Review code and technical designs while sharing knowledge with engineers across the team.
 * Participate in effort estimation and identify scope, dependency, or delivery considerations that may affect outcomes.


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