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.
At Goods and Services, we value diversity and are committed to creating an inclusive workplace where everyone can thrive. We are proud to be an Equal Opportunity Employer and welcome qualified applicants from all backgrounds.
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
