Sr.Engineer

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up.

Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Team Overview: The Loop Engineering Team is building Target's intelligent planning and orchestration platform that transforms high-level business intent into executable workflows. Loop acts as the decisioning layer within our automation ecosystem, enabling teams to decompose complex problems, orchestrate AI agents and tools, and automate workflows across enterprise systems.

The platform empowers teams to design, execute, and scale intelligent workflows in a secure, governed, and highly observable environment. Position Overview: As a Senior Engineer on the Loop team, you will design and build core platform capabilities that power task decomposition, agent orchestration, workflow generation, and execution monitoring. You will work at the intersection of distributed systems and AI/GenAI to create intelligent, reliable, and enterprise-grade automation solutions.

Key Responsibilities Design and develop scalable backend services for planning, orchestration, and workflow execution Build systems for task decomposition, tool selection, and agent coordination Integrate LLMs and AI agents into production-grade workflows with strong reliability and guardrails Develop APIs and platform services that enable teams to create and manage intelligent workflows Ensure platform capabilities meet enterprise standards for security, governance, and observability Collaborate with product, data science, and enterprise architecture teams to define and deliver platform features Optimize system performance, scalability, and cost efficiency in a cloud-native environment Contribute to best practices for building agentic and AI-driven systems Required Qualifications Bachelor's or Master's degree in Computer Science or related field 4+ years of experience in backend or platform engineering Strong programming skills in Java, Kotlin, or Python Experience building distributed systems and microservices architectures Familiarity with REST APIs, event-driven systems, and cloud-native technologies Understanding of system design, scalability, and reliability principles Experience working in agile, cross-functional engineering teams Preferred Qualifications Experience with AI/ML or GenAI systems, including LLM integrations Familiarity with workflow orchestration or distributed execution systems Experience designing agent-based or decisioning systems Knowledge of observability, monitoring, and governance in enterprise platforms Frontend experience with React or Angular is a plus Experience with cloud platforms (GCP, AWS, or Azure)