Principal Software Engineer - Cloud Modernisation

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

Job Title: Principal Software Engineer - Gen AI
Location: Manyata Tech Park, Bangalore

Business & Team: CTO- Cloud Modernisation

Impact &contribution: As an experienced Principal Engineer who act as thought & technology leader, responsible for providing technical strategy and guidance, overseeing engineering projects of all kinds includes AWS, Cloud Adoption, end to end application design and understanding at enterprise level and good in domain understanding with proven expertise in Gen AI platform engineering and a passion for providing AI-driven solutions, you’re ahead of trends and work at the forefront of AI.

Roles & responsibilities:

• Evangelist, leader and champion of strategic practice development across the Gen AI domain.
• Leader amongst engineers with respected technical views. Lead and direct multiple teams on complex troubleshooting activity. Play a mentoring role in providing design and technical assistance to other members of the team.
• Utilises an outstanding competency in core business and technical strategies across platforms to deliver best business outcomes.
• Build Gen AI capability among engineers including but not limited to Knowledge Engineering/prompt engineering/platform engineering.
• Knowledge Engineering: identifying and gathering relevant domain specific knowledge from various sources and structuring it in a structured way for LLM model to understand and utilize.
• Platform engineering: Collaborate with other teams to integrate AI solutions into existing workflows and systems to get the platform running and available. They configure and manage the underlying infrastructure that supports the platform, ensuring scalability, reliability, and high availability.
• Staying up to date on advancements: The field of generative AI is constantly evolving, so staying informed about the latest research and developments, latest releases on different models and their performances are crucial.
• Ability to develop, suggest best practices of designing infrastructures that support fine-tuning of models to improve performance and efficiency, and troubleshoot any issues that arise during development or deployment.
• Analyse systems and applications and provide recommendations for design, enhancement and development, and play an active part in their execution.
• Have a great understanding of software delivery practices and lifecycles in Agile methodologies

Essential skills: 

• 16+ years of experience in relevant filed.
• Strong programming skills in languages (Python/ Java/ C#/ .NET Core)
• Hands-on experience with cloud platforms (Azure or AWS) and deploying AI models in cloud-native environments.
• Proven experience in building applications using LLMs and GenAI technologies.
• Experience with DevOps practices and tools for continuous integration and deployment.
• Experience with large language models (LLMs) and retrieval-augmented generation (RAG) techniques.
• Proficiency in using LLM frameworks and toolkits in one or more such as Langchain, Crew AI, MCP, Cline, Aider, and similar technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and collaboration skills.

Education Qualification:  Bachelor’s degree or Master’s degree in Engineering in Computer Science/Information Technology.