Software Engineer, Senior

Archer; Atlanta (GA); On-site; USD 140,000 - 180,000; Full time

Job summary

Archer, in collaboration with Infor, is seeking a Senior Full Stack Engineer to 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 includes building production services with Python and Angular, integrating AWS Bedrock/SageMaker/Lambda/EKS, implementing AI governance with explainability and

Qualifications

• Production software delivery experience in an engineering environment.
• Experience using AI-assisted coding tools in daily development (Claude Code, AWS Kiro, OpenAI Codex) or 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.
• Ability to design solutions from problem statements and document implementation considerations.
• Understanding of responsible AI use, including evaluating outputs and identifying appropriate AI applications.

Responsibilities

• 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.

Skills

Python

Angular

Full-stack

AI governance

Explainability

Observability

Claude API

Model Context Protocol

LangChain

LangGraph

AWS Bedrock

AWS SageMaker

AWS Lambda

AWS EKS

Claude Code

AWS Kiro

OpenAI Codex

Tools

Claude Code

AWS Kiro

OpenAI Codex

LangChain

LangGraph

Job description

Archer is collaborating with Infor to connect them with exceptional professionals for this role. 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.

Basic Qualifications

• 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.