Engineer - Backend with Gen AI

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.

Responsibilities:

• 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)