Telecommute Software Application Specialist

As a family company, we serve people and communities. When you work at Meijer, you’re provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family – take care of your career and your community! Meijer Rewards Weekly pay The Software Engineer I, AI designs, develops, tests and supports AI-enabled software applications and services as a member of an Agile development team. This position is part of the AI team within Meijer Technology, which builds and operates the company's enterprise AI assistant and the shared services that support AI-enabled applications across the business. This role delivers assigned features and components, participates in code reviews and testing, and develops a working knowledge of Meijer's technology platforms, including cloud and AI-enabled application development. Position will follow our hybrid schedule – Monday-Wednesday in office, Thursday-Friday remote. Designs, develops, tests and deploys application features and services, including integrations with enterprise systems and data sources.

• Builds AI-enabled application capabilities, including retrieval components, tool and API integrations, and automated evaluation of AI-generated responses.
• Builds and deploys containerized services through CI/CD pipelines and operates them in production, including monitoring, alerting and performance tuning.
• monitors quality and takes corrective action.
• Participates in the on-call rotation, responds to incidents and contributes to root cause analysis and corrective actions.
• Uses AI-assisted development tools in daily work and shares effective practices with the team.
• Participates in Agile team ceremonies and in planning and prioritization.

• Proficiency in at least one modern programming language, such as Python, TypeScript or C#.
• Understanding of web services, REST APIs, authentication and source control (Git).
• Familiarity with software testing practices and troubleshooting using logs and monitoring tools.
• Demonstrated ability to complete software projects through academic, internship, open-source or professional work.
• Demonstrated use of AI tools in daily work, such as AI-assisted coding, testing, documentation or analysis, with the ability to describe what has worked and what has not.

• Coursework or project experience in machine learning, statistics or data science.
• Familiarity with containers (Docker) and a major cloud platform (for example Azure, AWS or Google Cloud).
• Familiarity with enterprise platforms such as Databricks or ServiceNow.
• Experience with Agile methodologies.