Senior AI Engineer – CircleCard

Pay and Benefits

The pay range is $98,000.00 - $. Pay is based on several factors which vary based on position, including labor markets, education, work experience and certifications. Target offers comprehensive health benefits, including medical, vision, dental, life insurance and more for eligible team members and their dependents. Other benefits include a 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 well‑being and beyond at

Senior AI Engineer – Apply For Circle Card. 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, distill abstract architecture into concrete design, and influence implementation. You apply software engineering patterns to build robust and scalable systems, and influence fellow engineers with design proposals, feedback and implementation direction.

You resolve operational issues and eliminate repeat occurrences. The team is responsible for creating a seamless Circle Card application experience, delivering instant approve or decline decisions, supporting in‑store balance paydowns, and maintaining key Circle Card metrics.

• 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 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 (LLMs) 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 (RAG) 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, libraries, workflows and engineering accelerators that improve developer productivity.
• Evaluate emerging AI capabilities, lead proof‑of‑concept initiatives and recommend adoption strategies that deliver measurable business value.
• Partner across engineering teams to integrate AI capabilities into products, platforms and software development workflows.

• Design, develop and maintain highly scalable AI‑ready services using Kotlin, Java and Micronaut.
• Build secure, high‑performance RESTful APIs and event‑driven services supporting high‑volume retail and financial workloads.
• Design distributed systems using Kafka, asynchronous messaging, distributed caching and cloud‑native architecture patterns.
• Design and optimize PostgreSQL databases, including data modeling, indexing, query optimization and transactional integrity.
• Build resilient, highly available services with strong fault tolerance, scalability and operational excellence.
• Lead technical design discussions, architecture reviews, code reviews and implementation planning.
• Improve platform observability using Open Telemetry, distributed tracing, metrics, logging and production monitoring.
• Co…