Software Engineer

Meijer•Grand Rapids, MI

1d•Hybrid

About The Position

The Software Engineer I, AI designs, develops, tests, and supports AI-enabled software applications and services as a member of an Agile development team. The position is part of the AI team within Meijer Technology, which builds and operates the company's enterprise AI assistant and shared services supporting AI-enabled applications across the business. The role delivers assigned features and components, participates in code reviews and testing, and develops working knowledge of Meijer's technology platforms, including cloud and AI-enabled application development. The position follows a hybrid schedule: Monday through Wednesday in the office and Thursday and Friday remote.

Requirements

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 and has not worked.

Nice To Haves

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.

Responsibilities

Deliver assigned features and components, taking on broader ownership over time.
Participate in code reviews and apply 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 and operate them in production, including monitoring, alerting, and performance tuning.
Write and maintain automated tests; monitor quality and take corrective action.
Participate in the on-call rotation, respond to incidents, and contribute to root cause analysis and corrective actions.
Use AI-assisted development tools in daily work and share effective practices with the team.
Write clear technical documentation, including designs, runbooks, and operational procedures.
Collaborate with product owners, analysts, security, and partner teams on requirements, acceptance criteria, and solutions.
Participate in Agile team ceremonies, planning, and prioritization.