Software Engineer, Data & AI Products

About the Role

We are looking for a Software Engineer to join our Data & AI Products team in Bangalore, India. In this role, you will help shape Red Hat’s data-driven strategy by designing, building, and scaling data products and AI applications to support key operational and analytical needs. You will deliver enterprise-grade data and AI solutions (code, data, and models) across the organization using an InnerSource collaboration model. Combining expertise in software engineering, modern data architecture, and AI/ML technologies, you will drive internal customer adoption and foster composable, intelligent business solutions. You will partner with colleagues across functions and geographies, using data, ai, technology, and process excellence to create solutions that improve performance and deliver measurable impact.

Key Responsibilities

• Contribute to evolving existing source data pipelines to an ETL model of data ingestion.
• Implement the separation of source-aligned data products from aggregate data products.
• Decorate your data products with metadata to support knowledge transfer, adoption, and the application of Machine Learning and LLMs.
• Develop and build Data & AI applications and intelligent features, leveraging large language models (LLMs) to enhance data products, under technical guidance.
• Implement new data pipelines to support the training, fine-tuning, and deployment of AI/ML models.
• Tag and classify your data assets to ensure they are used responsibly throughout the organization, applying masking or restricting access where appropriate.
• Apply software engineering best practices to your code release process to support CI/CD and a high velocity collaboration model based on InnerSource, including MLOps principles.
• Register and maintain the catalog entries for your data products and models to support discoverability and reuse.
• Ensure your data products easily join with other business data products using common identifiers and keys.
• Develop automated and resilient processes that support the end-end delivery of business value.
• Contribute to defining and delivering on a data product SLO for your data ‘customers’.
• Responsibly share your data products with other internal consumers while balancing the core needs of security and compliance.
• Contribute feedback and recommendations to the Data Platform team in order to remove friction and increase scale for all users.
• Write custom adapters to integrate internal data sources into the centralized Warehouse environment.
• Support and learn from team members on best practices in AI application development and data governance.

Requirements & Tech Stack

• Solid software, data, and AI/ML engineering skills that contribute to maintainable data products and intelligent applications.
• Experience in developing and deploying applications utilizing Large Language Models (LLMs).
• Familiarity with leading generative AI platforms and models, such as Codex, Claude, Gemini, or other equivalent open-source or proprietary LLMs.
• Advanced proficiency in using SQL for data transformation.
• Proficiency in at least one general purpose programming language, e.g. Python (preferred for AI/ML), Go, Java, Rust, etc.
• A collaborative approach, actively participating in technical debates and being open to different perspectives.
• Focus on quality in all aspects of work, from code through to data.
• Empathy for the users of your data products, leading to a focus on increasing adoption and delivering business results.
• Ability to prioritize work to maximize contributions and impact.
• Bias for action and a proactive approach.
• Past experience in building data products, ideally with some exposure to governance and compliance requirements.

Considered a Plus

• Familiarity with open source or inner source development and processes.
• Familiarity of data mesh architectural principles.
• Experience with MLOps frameworks and tools.
• Experience with Snowflake, Fivetran, dbt, Airflow / Astronomer.

Qualifications

• Bachelor's Degree.