Software Engineer, Senior

Infor Inc.

Atlanta, GA, United States

26 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

diversityjobs.com

Tech stack

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

Job 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.

Requirements

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.