Software Engineer

Meijer is building an enterprise approach to AI, including an AI assistant and shared services. This Software Engineer role on the AI team designs, develops, tests, and supports AI-enabled applications within an Agile environment, helping deliver reliable capabilities that can be deployed and operated in production.

Location: Grand Rapids, MI (hybrid)

What you’ll do

• Own assigned features and components, expanding responsibility over time.
• Contribute to code reviews and incorporate feedback.
• Deliver working, tested code and documentation on a regular cadence.
• Design, develop, test, and deploy application features and services, including integrations with enterprise systems and data sources.
• Build AI-enabled application capabilities, including retrieval components, tool and API integrations, and automated evaluation of AI-generated responses.
• Build and deploy containerized services through CI/CD pipelines, then operate them in production with monitoring, alerting, and performance tuning.
• Write and maintain automated tests, monitor quality, and take corrective action when needed.
• Participate in an on-call rotation, respond to incidents, and support root cause analysis and corrective actions.
• Use AI-assisted development tools day to day and share effective practices with the team.
• Create clear technical documentation, including designs, runbooks, and operational procedures.
• Collaborate with product owners, analysts, security, and partner teams on requirements, acceptance criteria, and solution approaches.
• Take part in Agile ceremonies, planning, and prioritization.

What you bring

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience.
• Proficiency in at least one modern programming language such as Python, TypeScript, or C#.
• Understanding of web services, REST APIs, authentication, and source control with Git.
• Familiarity with software testing practices and troubleshooting using logs and monitoring tools.
• Proven ability to complete software projects through academic, internship, open-source, or professional work.
• Strong communication skills and experience working effectively on a team.
• Demonstrated use of AI tools in daily work (AI-assisted coding, testing, documentation, or analysis) and the ability to explain what worked and what did not.

Technologies you may use

• Python, TypeScript, C#
• REST APIs, Git
• Docker, CI/CD
• Azure, AWS, Google Cloud
• Databricks, ServiceNow

Benefits

• Weekly pay
• Scheduling flexibility
• Paid parental leave
• Paid education assistance
• Team member discount
• Development programs for advancement and career growth

Preferred qualifications

• Exposure to large language model APIs, retrieval-augmented generation, or related AI application patterns.
• Coursework or project experience in machine learning, statistics, or data science.
• Familiarity with containers (Docker) and a major cloud platform such as Azure, AWS, or Google Cloud.
• Familiarity with CI/CD tooling and infrastructure as code.
• Familiarity with enterprise platforms such as Databricks or ServiceNow.
• Experience with Agile methodologies.