Lead Fullstack Engineer- Advanced AI

Job Summary

As a Lead Full-Stack Engineer for Advanced AI, you will help design, build, deploy, and maintain the application layers, services, APIs, and user experiences that bring AI/ML capabilities into core business workflows.

You will work closely with AI/ML Engineers, Data Scientists, product partners, platform teams, security teams, and business stakeholders to turn complex AI capabilities into practical, intuitive, and scalable applications.

Responsibilities

• In this role, you will provide hands-on technical leadership for full-stack engineering initiatives across Advanced AI applications.
• You will contribute to architecture and design decisions, build maintainable production-quality code, design and develop APIs and services, create user-facing application experiences, and help establish strong engineering practices across development, testing, deployment, observability, documentation, and ongoing support.
• You will help ensure applications are secure, reliable, accessible, performant, maintainable, and aligned to Target's enterprise standards for infrastructure, platform architecture, data handling, and operational readiness.
• You will also partner with AI/ML Engineers, Lead and Principal Engineers, and engineering leaders to shape technical approaches, identify implementation risks, resolve roadblocks, and support the evolution of reusable application patterns for AI-powered products.
• This role requires strong product thinking, curiosity, and continuous learning, including staying current with modern full-stack engineering practices and developments in AI, LLM-powered applications, agentic systems, and enterprise AI patterns.
• A successful Lead Full-Stack Engineer will help deliver production-grade AI applications that create measurable business value while raising the technical quality and capability of the broader team.

Qualifications

• 4-year degree or equivalent experience.
• 6+ years of hands-on software engineering experience, including experience building and operating production applications.
• Strong experience building full-stack applications, including user-facing experiences, backend services, APIs, integrations, and data-driven workflows.
• Strong proficiency with modern backend and frontend development. Experience with Python is strongly preferred, and experience with TypeScript, JavaScript, Java, Kotlin, Go, or similar languages is helpful.
• Experience with modern web application frameworks, API design, service-oriented architectures, data integration patterns, and production application development.
• Experience building applications that integrate with AI/ML capabilities, including model APIs, LLM-powered workflows, retrieval-augmented generation, agentic systems, intelligent automation, or data science outputs.
• Strong understanding of system design, application architecture, security, performance, scalability, reliability, accessibility, observability, testing, and production deployment considerations.
• Experience building scalable, maintainable, and well-tested services, APIs, data pipelines, integrations, applications, or platforms.
• Experience with version control, CI/CD, code review practices, documentation, operational monitoring, and production support.
• Ability to translate ambiguous business and user needs into clear technical approaches and collaborate with cross-functional partners to deliver practical solutions.
• Strong communication skills, with the ability to explain technical concepts clearly to engineers, AI/ML Engineers, Data Scientists, product partners, business stakeholders, and leaders.
• Ability to mentor engineers, contribute to technical direction, and raise the quality of full-stack engineering practices within a team.
• Self-driven and results-oriented, with strong ownership, sound judgment, and the ability to move quickly while maintaining high technical standards.
• Collaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable AI-powered applications that create business value.

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