Senior Engineer Software (Applied AI) [T500-28219]

About the Role

About Albertsons: As a leading food and drug retailer in the United States, Albertsons Companies, Inc. (ACI) operates over 2,200 stores across 34 states and the District of Columbia. Our well-known global banners, including Albertsons, Safeway, Vons, Jewel-Osco and others. Our success is built upon a united team approach, driven by the desire to understand and enhance the customer experience. This customer-centric focus not only inspires innovation but has also led to remarkable achievements across our digital platforms and omnichannel strategies. By constantly pushing the boundaries of retail, we have transformed shopping into an experience that is not just easy and efficient, but also fun and engaging. Over the past year, we have taken bold, strategic steps to migrate and modernize our enterprise data hub on Google Cloud, revolutionizing our data capabilities, thus becoming the first fully cloud-based grocery tech company. About Tech Hub in India: Albertsons Companies India (ACI India) is part of Albertsons Companies Inc. global workforce. As Albertsons' first significant strategic investment in India, it serves as a collaborative hub, supporting Albertsons in driving innovation and efficiency across Technology, Digital, and other key business functions. The associates at the India GCC will play a pivotal role in enhancing the company's digital transformation, customer engagement, and operational excellence, contributing significantly to Albertsons Companies' mission to earn Customers for Life. About the Role: We're hiring a Software Engineer who pairs solid Java full-stack fundamentals with genuine curiosity about building AI-powered features. You'll write and review code daily, grow your craft on real production systems, and get hands-on with products that increasingly use LLMs, RAG, and agentic workflows. This is an ideal role for an early-career engineer who wants to build a strong distributed-systems and full-stack foundation while learning to develop AI native features from the ground up. What You'll Do: • Write and review code; follow and learn the team's standards of excellence. • Evaluate user requests and help clarify objectives and functional requirements for new or modified programs. • Design and develop software and business-process solutions based on business needs, with guidance. Contribute to AI-powered features — helping build Mutli-agent systems, LLMbacked functionality, RAG retrieval, and simple tool-using workflows under mentorship. • Help with basic quality checks for AI features (test prompts, sanity checks) so behavior stays predictable. • Conduct feasibility studies for new and existing applications, making decisions within defined parameters. • Focus on quality in all aspects of work and continually improve your standards. • Contribute to team activities and collaborate across teams to solve problems. Core Engineering Experience (Required): • 6–9 years as a Full Stack Developer across Java, Web, and Mobile technologies. • 6+ years in OOAD, Java EE, Web technologies, and REST APIs. • Working knowledge of database technologies — relational (Oracle, Azure SQL, PostgreSQL) and/or NoSQL (MongoDB, Cassandra) — with exposure to mobile data synchronization and offline storage. • Working knowledge of UI/Web 2.0 development (JavaScript, CSS, SCSS, HTML5, AJAX, jQuery, NodeJS, ReactJS, AngularJS) with responsive, mobile-first design. • Foundational understanding of design patterns and building scalable, maintainable applications. • Familiarity with application servers (Tomcat, Jetty, Reactor Netty). • 2+ years with cloud platform services (Azure, GCP, or AWS) and cloud application development. • Working knowledge of automated testing: JUnit/TestNG, plus Selenium, Playwright, Cucumber, Rest-Assured, Karate; mobile testing with Appium or Espresso. • Working knowledge of the full SDLC and Agile methodologies. • Exposure to CI/CD with Jenkins or GitHub Actions; Docker/Kubernetes is a plus. • Familiarity with GitHub Copilot or similar AI-assisted development tools. • Ability to understand stakeholder expectations and escalate issues that may affect delivery. AI Skills (Mandatory): • AI-augmented engineering: Comfortable using AI tools (e.g., Copilot, ChatGPT/Claude code ) in daily engineering work to write, debug, and learn faster, with growing awareness of cost-aware usage. • LLM basics: Conceptual understanding of how LLM-based applications work (chatbots, Q&A, assistants), including the basics of prompt engineering and context. • RAG awareness: Familiarity with the idea of Retrieval-Augmented Generation — retrieving relevant data to ground LLM responses. • Agentic concepts: Awareness of agentic AI ideas — agents using tools, memory, and multi-step workflows. • AI frameworks (exposure): Hands-on exposure — through projects, coursework, or POCs — to an LLM framework such as LangChain, LangGraph, or Google GenAI tools. Mandatory Skills Summary: • Languages: Java 11+ • Databases: MySQL / PostgreSQL / Oracle / MongoDB / Cassandra • Frontend: HTML / CSS / JavaScript / ReactJS / Bootstrap • Backend: Spring Boot / REST APIs / Microservices • Automation Testing: JUnit / Selenium / Playwright / Cucumber / Jest • Cloud: AWS / GCP / Azure • DevOps: CI/CD, GitHub, Jenkins • AI: LLM basics, RAG awareness, agentic concepts, LangChain/LangGraph exposure