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Senior AI Engineer – Apply For CircleCard

Job in Brooklyn Park, Hennepin County, Minnesota, USA
Listing for: Target
Full Time position
Listed on 2026-08-22
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer
Salary/Wage Range or Industry Benchmark: 98000 - 176000 USD Yearly USD 98000.00 176000.00 YEAR
Job Description & How to Apply Below

What You'll Do

The pay range is 98,000.. Pay is based on several factors which vary based on position. These include labor markets and, in some instances, may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.

Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays and paid vacation. Find competitive benefits from financial and education to wellbeing and beyond at

Senior AI Engineer – Apply For Circle Card

About Us

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

Responsibilities

As a Senior Engineer, you serve as a specialist in the engineering team that supports the product. You help develop and gain insight into the application architecture. You can distill an abstract architecture into concrete design and influence implementation. You show expertise in applying the appropriate software engineering patterns to build robust and scalable systems. You are an expert in programming and apply your skills in developing the product.

You have the skills to design and implement the architecture on your own but choose to influence your fellow engineers by proposing software designs, providing feedback on software designs and/or implementation. You show good problem‑solving skills and can help the team in triaging operational issues. You leverage your expertise in eliminating repeat occurrences.

The team is responsible for creating a seamless and efficient Circle Card application experience for our guests. Our primary goal is to deliver an instant approve or decline decision while increasing the number of successful Circle Card applications. Beyond application processing, we support in‑store balance paydowns for Guest Circle Cards and maintain internal tracking of key Circle Card metrics. We own core backend systems powering the Circle Card journey with front‑end experience in store registry.

This breadth allows us to maintain a holistic view and innovate effectively across the guest experience.

AI Engineering
  • Leverage AI‑assisted software development tools throughout the software development lifecycle, including solution design, implementation, testing, debugging, documentation, and code reviews.
  • Collaborate effectively with AI coding assistants and enterprise AI platforms to improve engineering productivity while maintaining high standards for code quality, security, architecture, and maintainability.
  • Apply sound engineering judgment to validate AI‑generated code and technical recommendations through testing, peer reviews, and established software engineering practices.
  • Design and build production AI‑powered applications using Target-approved AI platforms, frameworks and large language models to solve engineering and business problems.
  • Design, build, and deploy production‑grade autonomous and agentic AI systems capable of reasoning, planning, tool orchestration, memory management, and multi‑step workflow execution.
  • Develop domain‑specific AI agents and multi‑agent workflows using modern orchestration frameworks to automate engineering processes and enhance retail and enterprise experiences.
  • Design and implement prompt engineering and context engineering strategies to improve application quality, reliability, and relevance.
  • Build retrieval‑augmented generation solutions leveraging enterprise knowledge sources, vector search technologies and semantic retrieval.
  • Optimize AI applications for response quality, latency, throughput, token utilization and inference cost.
  • Implement AI evaluation frameworks and apply responsible AI, security, privacy, governance and observability best practices.
  • Build reusable AI components, frameworks,…
Position Requirements
10+ Years work experience
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