Sr.Engineer

Job Id: R0000442072

About Us:

Target is an iconic brand, a Fortune 50 company and one of America’s leading retailers.

To match the signature style and passion of Target’s distinctive retail brand, Target Legal Affairs is a dynamic and deeply knowledgeable team of experts. Whether specializing in law, government affairs, employee relations, risk, compliance, ethics, security or food safety, we use our expertise and influence to advocate for Target, support Target’s business and mitigate risk for the company. We work with both internal and external entities on key issues that affect Target’s ability to productively, ethically and securely conduct business. Through our understanding of Target’s business models and operations, we help facilitate Target’s growth, and provide guidance that leaders rely on to make appropriate, well-informed decisions. Simultaneously, we help protect the business by applying our comprehensive understanding of risk and the law on issues that impact our brand, guests, team members, stores, distribution centers and corporate locations.

Here, you’ll enjoy working autonomously with a healthy work-life balance. Your passion for learning the business, collaborating with others and building relationships with senior leaders and key business partners that you support will be essential to tackling the ever-changing legal and risk-based challenges we face in a dynamic and fast-paced retail environment.

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.

Role 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)

What You'll Work On

Building the core planning engine that converts user intent into structured workflows

Developing orchestration layers for AI agents and enterprise tools Creating intelligent systems that are adaptive, explainable, and scalable

Enabling teams across Target to adopt agent-driven automation at scale