Senior Software & AI Modernization Engineer

About Goods & Services

Goods & Services is a product design and engineering company.

We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services . Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size.

Headquartered in the United States , we operate regional development centers in Mexico and the United Kingdom . This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect.

About the job

Goods & Services is looking for a Senior Software and AI Modernization Engineer who is responsible for enterprise application development, modernization of legacy applications, AI-enabled solutions, integrations, and production support. This role requires someone who can maintain existing systems while helping move older technology into modern, scalable, supportable applications and architecture.

Core Function:

• Design, develop, maintain, and troubleshoot enterprise applications
• Modernize legacy applications and convert older technology into current application architectures.
• Assess existing applications and determine whether functionality should be refactored, rebuilt, replaced, or migrated.
• Break large legacy modernization efforts into controlled, testable phases.
• Preserve existing business functionality while reducing technical debt.
• Design and develop APIs, services, integrations, and reusable application components.
• Develop AI-enabled applications, workflows, assistants, agents, and automation solutions.
• Integrate AI/LLM capabilities into existing and new business applications where there is a defined business use case.
• Evaluate AI solutions for accuracy, security, reliability, maintainability, and operational value.
• Work with database/data resources on application data models, integrations, and performance.
• Investigate application defects and production issues and drive them to root cause and resolution.
• Review existing code and identify architecture, maintainability, security, and performance risks.
• Participate in technical design and architecture decisions.
• Build solutions that can be supported by resources other than the original developer.
• Create appropriate automated and manual testing for new development and modernization work.
• Support DEV, TEST/UAT, and PROD releases.
• Define rollback or recovery approaches for significant production changes.
• Maintain technical documentation for applications, integrations, architecture, APIs, and deployment processes.
• Maintain clear status, estimates, blockers, risks, and target dates for assigned work.
• Work directly with BA, PM, DB/Data, Infrastructure, Applications, Security, and Support teams.
• Ensure completed work is tested, validated, documented, deployed, and supportable.

What you’ll do:

• The developer should be able to take an existing application and understand:
• Current business functionality
• Existing architecture
• Database dependencies
• External integrations
• Authentication and security dependencies
• Reports and downstream consumers
• Technical debt
• Unsupported or aging technologies
• Production dependencies
• Then design and execute a controlled path toward the new architecture without disrupting existing operations.
• Modernization should not simply mean rewriting code. The developer must understand what the existing system does, why it does it, and what must be preserved before replacing it.
• Build AI-enabled internal tools and business applications.
• Work with LLM APIs and AI platforms.
• Develop AI agents and workflow automation where appropriate.
• Implement structured prompting, tool/function calling, APIs, and application integration.
• Connect AI solutions to approved enterprise data sources.
• Design appropriate validation and human review where AI output affects business decisions.
• Evaluate AI output quality and reliability.
• Implement appropriate logging, monitoring, access control, and failure handling.
• Move AI initiatives from prototype into supportable production solutions.

What you’ll need:

• Solid enterprise software development experience oriented to JavaScript, TypeScript, GO, and Python.
• Modern application architecture
• Legacy application modernization
• API design and integration
• REST APIs and web services
• SQL and relational database experience
• Object-oriented application development
• Git/source control
• CI/CD and application deployment
• Application troubleshooting and root cause analysis
• Testing and release management
• Secure application development
• Experience integrating third-party systems and services
• AI Skills, including experience with several of the following:
• LLM APIs
• AI application development
• AI agents, including Github Copilot, Cursor, Cloud code and Codex
• Prompt engineering
• Tool/function calling
• Retrieval-Augmented Generation (RAG)
• Vector search / embeddings
• AI workflow automation
• Enterprise AI integration
• AI evaluation and validation
• Microsoft/Azure AI technologies

Preferred:

• Microsoft technology environment
• Azure/ AWS instead
• Enterprise application modernization
• Healthcare or skilled nursing environments
• Internal business applications
• Large legacy application conversions
• Application and database integrations, such as Good Dynamo DB, Mongo DB, Aurora DB
• Automation platforms, such as Jenkins
• Microsoft Power Platform / Copilot ecosystem