Principal Software Engineer - AI​/ML

About the Team

We are a strategic innovation group focused on building intelligent, conversational experiences that transform how users interact with enterprise systems. The team is responsible for delivering AI-powered search and agentic workflows that enhance productivity, streamline operations, and improve user satisfaction across IT, HR, and customer service domains.

• Design and develop conversational AI agents that guide users through complex workflows like change management, onboarding, and incident triage.
• Build intelligent search capabilities using LLMs to deliver context-aware results.
• Contribute to agentic systems that automate browser and voice-based tasks without APIs.
• Collaborate with cross-functional teams to deliver scalable, secure, and high-performance AI solutions.
• Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
• Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users.
• Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs.
• Contribute to the design and implementation of new products and features while also enhancing the existing product suite.
• Be a mentor for colleagues and help promote knowledge-sharing.

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
• Passion for software development, problem solving, coaching and mentoring other software engineers.
• High energy and an aptitude for learning new technologies.
• 10+ years of experience in designing & implementing user experience and server-side application frameworks.
• Exceptional Java and Java Script skills.
• Deep knowledge and experience with declarative meta-data driven frameworks for enterprise applications.
• Deep knowledge of AJAX, JSON, HTML, XML, CSS, REST and associated technologies.
• Knowledge of web user interface unit testing, profiling, and code tuning.
• Exceptional problem- solving skills.
• Self-starter with a quick learning curve.
• Strong written and verbal communication.
• Familiarity with automated testing frameworks (e.g.,
  JUnit, Selenium, TestNG
  ) and integrating tests into CI/CD pipelines.
• Understanding software quality principles including reliability, observability, and production readiness.
• Ability to troubleshoot complex systems and optimize performance across the stack.
• Comfort with development tools such as IDEs, debuggers, profilers, source control
  , and Unix-based systems
  .