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 4,000 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.
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.
Know More About Us here:
Life at Target- https://india.target.com/
Benefits- https://india.target.com/life-at-target/workplace/benefits
Culture- https://india.target.com/life-at-target/belonging
Skills Required
- Four-year degree or equivalent experience
- Six or more years of hands-on software engineering experience, including building and operating production applications
- Strong experience building full-stack applications with user-facing experiences, backend services, APIs, integrations, and data-driven workflows
- Strong proficiency with modern backend and frontend development
- Experience with Python
- Experience with TypeScript, JavaScript, Java, Kotlin, Go, or similar languages
- Experience with modern web application frameworks, API design, service-oriented architectures, data integration patterns, and production application development
- Experience integrating applications with AI or machine learning capabilities, including model APIs, LLM 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
- Experience building scalable, maintainable, well-tested services, APIs, data pipelines, integrations, applications, or platforms
- Experience with version control, CI/CD, code reviews, documentation, operational monitoring, and production support
- Ability to translate ambiguous business and user needs into technical approaches and collaborate cross-functionally
- Strong communication skills for explaining technical concepts to technical and business stakeholders
- Ability to mentor engineers, contribute to technical direction, and improve full-stack engineering practices
- Self-driven, results-oriented, accountable, and able to maintain high technical standards while moving quickly
- Collaborative mindset, continuous learning, knowledge sharing, and commitment to reliable AI-powered applications
Target Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Target and has not been reviewed or approved by Target.
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Healthcare Strength — Health benefits are accessible to hourly team members at relatively low hour thresholds and include no‑cost, 24/7 virtual medical care and expanded mental‑health support. This breadth is positioned as a relative strength compared to typical retail offerings.
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Retirement Support — Retirement programs include a dollar‑for‑dollar 401(k) match with immediate vesting and options like Roth 401(k) and stock purchase. These features strengthen long‑term savings for a wide range of roles.
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Parental & Family Support — Family support includes paid family leave, backup care, and reimbursements for adoption and surrogacy. These resources complement paid time off and holidays for eligible team members.
Target Insights
What We Do
Target is an American retailing company providing access to a wide selection of products such as furniture, electronics, toys, and more. Target is one of the world’s most recognized brands and one of America’s leading retailers. We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver. Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support. Since 1946, we have given 5 percent of our profits back to our communities. Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop.
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