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Target

Lead Fullstack Engineer- Advanced AI

Target

Location
Onsite (Bengaluru, Karnataka)
Employment
Full-time
Level
Senior Level
Posted 2 days ago

About the Role

Target's Advanced AI team in Bengaluru seeks a Lead Full-Stack Engineer to design and deploy production-grade applications integrating AI/ML capabilities. You will provide technical leadership to build scalable, secure, and reliable systems that drive business value across the enterprise.

Skills

Full-Stack Engineering Python Frontend Development Backend Development API Design System Design Application Architecture AI/ML Integration Large Language Models Retrieval-Augmented Generation Agentic Systems Security Scalability Observability CI/CD Technical Leadership

Full job details

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.

Overview about TII

At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 5,000 team members supporting the company’s global strategy and operations.

Pyramid Overview

A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.

Team Overview

Target’s Advanced AI team builds end-to-end AI/ML systems that create meaningful business value across the enterprise. These systems may be powered by LLMs, classical machine learning, or deep learning models, and are designed as scalable, reliable, production-grade applications, including agentic architectures where they add clear value.

Role Overview

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.

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.

About You

  • 4-year degree or equivalent experience.

  • 8+ 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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