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Open nowPosted today

Software Engineer

Meijer2,064 open roles

Where
Grand Rapids, MI
Work mode
Hybrid
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Your applicationOpen nowSoftware EngineerMeijer · Grand Rapids, MI

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Meijer's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Meijer postings stay open a median of 9 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted today

Meijer median: 9 days open

The posting

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

Please review the job profile below and apply today!

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.

What You Will Be Doing

  • 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.

What You Bring With You (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.
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    The review screen in CV Rocket: how each CV was read, round by round.

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