Sr.Engineer

Target is hiring a Sr.Engineer in Tower 02.

Responsibilities

• Design and develop scalable backend and platform services for agent orchestration, execution, evaluation, and monitoring
• Build reusable capabilities for agent lifecycle management, tool integration, prompt and model configuration, and workflow execution
• Integrate LLMs, AI agents, enterprise tools, and external systems into production-grade solutions with strong reliability and guardrails
• Develop APIs, SDKs, and platform services that enable teams to build, test, deploy, and manage intelligent agents
• Build and enhance evaluation capabilities, including offline and online evaluations, test suites, quality metrics, and agent optimization
• Develop observability capabilities for tracing, monitoring, dashboards, alerts, and debugging agent behavior
• Ensure platform capabilities meet enterprise standards for security, governance, privacy, reliability, and auditability
• Collaborate with product, data science, application engineering, and enterprise architecture teams to define and deliver platform features
• Optimize system performance, scalability, resiliency, and cost efficiency in a cloud-native environment
• Contribute to engineering standards and best practices for building GenAI and agentic systems

Requirements

• Bachelor’s or Master’s degree in Computer Science or a related field
• 4+ years of experience in backend, platform, or distributed systems engineering
• Strong programming skills in Java, Kotlin, Go or Python
• Experience building scalable distributed systems, APIs, and microservices architectures
• Familiarity with REST APIs, event-driven systems, asynchronous processing, and cloud-native technologies
• Understanding of system design, scalability, reliability, security, and observability principles
• Experience with containers, Kubernetes, CI/CD pipelines, and modern software delivery practices
• Experience working in agile, cross-functional engineering teams

Preferred qualifications

• Experience with AI/ML or GenAI systems, including LLM integrations and agent-based applications
• Familiarity with agent orchestration frameworks, tool calling, prompt management, and multi-agent systems
• Experience building evaluation frameworks for LLMs or AI agents
• Knowledge of tracing, observability, monitoring, dashboards, and alerting for distributed or AI systems
• Experience developing platform APIs, SDKs, or reusable developer tools
• Understanding of AI safety, governance, guardrails, and responsible AI practices
• Experience with vector databases, retrieval-augmented generation, model gateways, or semantic search
• Frontend experience with React is a plus
• Experience with cloud platforms, GCP, AWS or Azure

About Target

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. Te