TargetEngineer - Backend with Gen Ai
Target is hiring an Engineer - Backend with Gen Ai. Level rates it ; you can apply on Target.
Level's read on this job
- Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
- Tools and skills the posting cites include OpenAI and LLM integration.
- Level classifies it as a mid-level role.
- Level lists 14,000+ other open roles at Target.
- The role was posted in the last few days.
AI in this role
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. At Target, we have a timeless purpose and a proven strategy and that hasn’t happened by accident. Some of the best minds from diverse 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.
Target Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities.
Our global in-house technology team of more than 5,000 of engineers, data scientists, architects, coaches and product managers strive to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on diversity and inclusion, experimentation and continuous learning.
About Pyramid: Merchandising is a Portfolio within Target – Product Engineering provide reliable data that is core to our enterprise retail operations, including foundational data and aggregation services at scale for retail and commerce platforms. We deal with data around Pricing, Promotions, Item, Supplier, Owned Brand, Merch Planning, Space Presentation & Transitions(SPT) & Intelligence Automation.
As an Engineer you would be responsible for
- Developing scalable applications and services using appropriate technologies, contributing to the design and implementation of functionalities that the team develops while ensuring code quality and adherence to engineering standards.
- Hands-on development, taking ownership of assigned tasks and features. Ensures solutions are production ready, deployable, scalable and resilient.
- Planning and delivering their own work in collaboration with the team. Actively participates in knowledge sharing and continuous learning.
- Ensures product observability is in place for reliability. Contributes to monitoring and observability practices within the team and uses operational data to identify opportunities for improving stability and performance of the team's services.
- Responsible for following security best practices in product development and contributing to a security-first mindset. Familiar with applying security concepts such as identifying vulnerabilities in software, secure coding practices, and addressing security issues.
- Integrate Large Language Models (LLMs) and GenAI-powered features into core applications.
- Develop and enhance systems that mitigate hallucinations and improve AI reliability.
- Experience building or integrating agentic frameworks and AI-driven automation for process enhancement.
Position Overview
To succeed in this role, you'll bring 2–4 years of experience in software design and development, with a focus on building scalable backend applications. You will have hands-on experience with JVM-based technologies, specifically Java and Kotlin, along with an understanding of building robust, scalable systems. Experience with Agentic AI, LLM integration, and AI-driven automation is expected.
Must Have Skills
- Java & Python (Hands-on experience in backend development, AI, and automation workflows using Java and Python)
- Microservices Architecture (Experience developing and maintaining scalable microservices)
- Spring Boot or Micronaut (Experience with JVM-based frameworks, with familiarity in reactive programming)
- AI / LLM Integration (Experience integrating Large Language Models and GenAI features into applications)
- AI Reliability & Automation (Hands-on experience building or integrating agentic frameworks, reducing hallucinations, and implementing process automation using OpenAI APIs and SDKs)
- Messaging Systems (Kafka, RabbitMQ)
- Databases (Experience with NoSQL databases like Cassandra, MongoDB, and SQL-based databases like PostgreSQL)
- CI/CD (Experience working with pipelines using Jenkins, GitLab, or similar tools)
- Unit and Integration Testing (Spock, JUnit, TestContainers for Java; PyTest, Unittest for Python)
- Cloud Services (AWS, GCP, Azure)
- Containerization and Orchestration (Docker, Kubernetes)
- Monitoring & Observability (Grafana, ELK Stack, Prometheus)
- Event-Driven Architecture (Knowledge of event-driven patterns in distributed systems)
Good to Have Skills
- Functional Programming (Familiarity with functional programming paradigms in Kotlin)
- GraphQL (Familiarity with designing and integrating GraphQL APIs)
- Legacy System Modernization (Exposure to refactoring and modernizing older systems)
- Security Best Practices (OWASP, vulnerability scanning, secure coding principles)
- Agile Methodologies (Familiar with Scrum, Kanban, or other agile processes)
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
- Curious about Target Tech?: https://tech.target.com/
Know More About Us here:
- Life at Target: https://india.target.com/
- Target Tech: https://tech.target.com/
How we rate this
Engineer - Backend with Gen Ai at Target rates 43 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How have you integrated a large language model into a production application?
- Walk me through how you've used OpenAI in your day-to-day work.
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: LLM Integration and OpenAI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. You get your review by email within 24 hours.
Get new software engineering jobs (Uses AI ●●○○ or higher) by email
One email a week with the new software engineering jobs (Uses AI ●●○○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that use AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step