Software Engineer

About the Role

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 shared services that support AI-enabled applications across the business.

Position will follow our hybrid schedule – Monday-Wednesday in office, Thursday-Friday remote.

Key Responsibilities

• Delivers assigned features and components, taking on broader ownership over time.
• Participates in code reviews and applies feedback.
• Delivers working, tested code and documentation on a regular cadence.
• 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.
• Writes and maintains automated tests; 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.
• Writes clear technical documentation, including designs, runbooks, and operational procedures.
• Collaborates with product owners, analysts, security, and partner teams on requirements, acceptance criteria, and solutions.
• Participates in Agile team ceremonies and in planning and prioritization.

Qualifications

• 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 (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.
• Strong communication skills and ability to work effectively on a team.
• 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.

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 (for example 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.