TARGET
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Bengaluru · On-site · 8-11 Yrs · Sep 27
General Merchandise & Superstores · 10000+ Employees · Minneapolis, US
From our Minneapolis-based headquarters to around 1,800 stores and 35 distribution centers across the U.S., Target offers a world of possibilities in an environment that empowers its team members to innovate and contribute ideas. Join a company that’s focused on moving forward to what’s next while giving back to the communities they serve. Since 1946, Target has given 5 percent of its profit through community grants and programs; today, that giving equals more than $4 million a week. As extended headquarters, nearly every aspect of Target’s business is represented in Bangalore, and a strong connection to HQ means ideas and results flow seamlessly across the globe. The Target in India team works on some of our most important strategies, and also leads our efforts around AI, machine learning, in-house engineering and data science strategies.
Hiring: Engineering
What employees say
+ Great culture, amazing work life balance
− Some managers are really difficult to work with
More reviews on the company profile.
Interview experience · Apprentice Analyst
total 2 round first basic screening, we submit our application second round is an online round which had aptitude, verbal, basic analytics questions and sql questions to code third round was an in person interview, we h
Easy difficulty · Bengaluru · 376 reports
More interview insightsJob description
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.
Responsibilities
- 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.
Qualifications
- 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.
- Strong understanding of system design, application architecture, security, performance, scalability, reliability, accessibility, observability, testing, and production deployment considerations.
- 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.
- Life at Target- https://india.target.com/
Benefits
- Culture- https://india.target.com/life-at-target/belonging
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Job application FAQ
Last updated 5 October 2026
- How do I apply for Lead Fullstack Engineer- Advanced AI at TARGET?
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- Is Lead Fullstack Engineer- Advanced AI remote or on-site in Bengaluru, Karnataka?
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- What skills matter for this Lead Fullstack Engineer- Advanced AI role at TARGET?
- This is a lead Lead Fullstack Engineer- Advanced AI role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.