Senior AI Engineer – Apply For CircleCard

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 whilemaintaininghigh standardsfor code quality security architecture and maintainability.

• Apply sound engineering judgment tovalidateAI-generated code and technical recommendations through testing peer reviews and established software engineering practices.

• Design and buildproductionAI-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) solutionsleveragingenterprise knowledge sources vector search technologies and semantic retrieval.

• OptimizeAI applications for response quality latency throughput tokenutilization 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.

Services Engineering:

• Design develop andmaintainhighly scalableAI-ready services usingKotlin Java and Micronaut.

• Build secure high-performanceRESTful APIs and event-driven servicessupporting high-volume retail and financial workloads.

• Design distributed systems usingKafka asynchronous messaging distributed caching and cloud-native architecture patterns.

• Design andoptimizePostgreSQLdatabases including data modeling indexing query optimization and transactional integrity.

• Build resilienthighly availableservices with strong fault tolerance scalability and operational excellence.

• Lead technical design discussions architecture reviews code reviews and implementation planning.

• Improve platform observability usingOpenTelemetry distributed tracing metrics logging and production monitoring.

• Continuously improve application performance scalability resiliency observability and operational health.

• Partner closely with Product Management UX Architecture Infrastructure Data and business stakeholders to deliver customer-focused solutions.

About You

RequiredQualifications:

• 4 years ofdegree or equivalent practical experience.

• 5 years of software engineering experience building enterprise-scale applications and backend systems.

AIEngineering:

• Hands-on experience designing and deployingproductionAI applications AI-powered tools or agentic systems using modern Large Language Models (LLMs).

• Experience building autonomous or multi-agent workflows using technologies such asModel Context Protocol (MCP)LangGraphLangChainCrewAIGoogle ADKSemantic Kernel or equivalent orchestration frameworks.

• Strong understanding of AI application architecture includingPrompt Engineering Context Engineering Retrieval-Augmented Generation (RAG) tool calling memory management orchestration patterns and AI evaluation.

• ExperienceoptimizingAI applications for quality latency token efficiency and inference cost while implementing responsible AI governance and observability practices.

• ProficiencyinPythonfor AI application development automation or AI tooling.

ServicesEngineering:

• Expert-levelproficiencyinKotlinandJava with experience building microservices usingMicronautand/orSpring Boot.

• Strong experience designing distributed systems RESTful APIs Kafka-based event-driven architectures PostgreSQL Redis Docker Kubernetes and modern CI/CD pipelines.

• Experience buildinghighly available resilient secure and observable production services.

Leadership &Collaboration:

• Strong communication collaboration and technical leadership skills with experience mentoring engineers leading design discussions and driving engineering best practices.

• Passion for applying emerging AI technologies to solve complex engineering and business challenges.

Extra points if you have:

• Worked onwith workflow orchestration platforms such as Temporal

• Experience creating reusable AI workflows or skills to enable efficient repeatable engineering tasks

• Worked onTargetRegister platform

This position willoperateas a Hybrid/Flex for Your Day work arrangement based on Targets needs. A Hybrid/Flex for Your Day work arrangement means the team members core rolewill need to beperformedboth onsite at the Target HQ MN location the role is assigned to and virtuallydepending upon what your role team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location unless otherwise prescribed by Target. Clickhereif you are curious to learn more about Minnesota.