Staff Software Engineer (Applied AI)

Requirements:

• 9-12 years as a full-stack developer across Java, web, and mobile technologies.
• 9+ years in OOAD, Java EE, web technologies, and REST APIs.
• Working knowledge of relational database technologies (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, and 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, and 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, and LangChain/LangGraph exposure.