Senior Software Engineer

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: Senior Software Engineer – Data Modernization (GenAI)

Location: Manyata Tech Park, Bangalore (Hybrid)

Business & Team:

CommSec is Australia's largest online retail stockbroker. It is one of the most highly visible and visited online assets in Australian financial services. CommSec’s systems utilise a variety of technologies and support a broad range of investors. Engineers within CommSec are offered regular opportunities to work on some of the finest IT systems in Australia, as well as having opportunity to develop careers across different functions and teams within the wider Bank.

Impact & Contribution:

Apply core concepts, technology and domain expertise to effectively develop software solutions to meet business needs. You will contribute to building the brighter future for all by ensuring that our team builds the best solutions possible using modern development practices that ensure both functional and non-functional needs are met. If you have a history of building a culture of empowerment and know what it takes to be a force multiplier within a large organization, then you’re the kind of person we are looking for. You will report to the Lead Engineer within Business Banking Technology.

Roles & Responsibilities:

• Build scalable agentic AI solutions that integrate with existing systems and support business objectives.
• Implement MLOps pipelines
  Design and conduct experiments to evaluate model performance and iteratively refine models based on findings.
• Hands on experience in automated LLM outcome validation and metrication of AI outputs.
• Good knowledge of ethical AI practices and tools to implement.
• Hand-on experience in AWS cloud services such as SNS, SQS, Lambda.
• Experience in big data platform technologies such as to Spark framework and Vector DB.
• Collaborate with Software engineers to deploy AI models in production environments, ensuring robustness and scalability.
• Participate in research initiatives to explore new AI models and methodologies that can be applied to current and future products.
• Develop and implement monitoring systems to track the performance of AI models in production.
• Hands on DevSecOps experience including continuous integration/continuous deployment, security practices.

Essential Skills:

The AI Engineer will involve in the development and deployment of advanced AI and machine learning models. The ideal candidate is highly skilled in MLOps and software engineering, with a strong track record of developing AI models and deploying them in production environments.

• 7+ years' experience
• RAG, Prompt Engineering
• Vector DB, Dynamo DB, Redshift
• Spark framework, Parquet, Iceberg
• Python
• MLOps
• Langfuse, LlamaIndex, MLflow, Gleu, Bleu
• AWS cloud services such as SNS, SQS, Lambda
• Traditional Machine Learning

Education Qualifications:

• Bachelor’s degree or Master's Degree in engineering in Information Technology.