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 straightforward 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):

- 13 years as a Full Stack Developer across Java, Web, and Mobile technologies.
- 1+ 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).
- 1+ 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

📌 Engineer Software (Applied AI) (Bengaluru)
🏢 Albertsons Companies India
📍 Bengaluru