Sr Java Developer( with AI Knowledge and tools usage)

Required Qualifications

• Bachelors degree in Computer Science, Software Engineering, Information Systems, or related technical field.
• 5+ years of software engineering experience, including developing enterprise-scale applications or platforms.
• Exposure to AI/ML or Generative AI concepts, with willingness to build and deploy AI-powered solutions in production environments.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Understanding of distributed systems, microservices architectures, APIs, and event-driven platforms.
• Software development proficiency in one or more modern programming languages such as Java, Python, C#, Go, or TypeScript.
• Familiarity with CI/CD pipelines, Infrastructure as Code, and modern DevOps practices.
• Good communication and teamwork skills with the ability to collaborate effectively within technical teams.
• Willingness to learn and work in regulated, security-conscious, and data-intensive environments.

Preferred Qualifications.

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Experience working within credit reporting, financial services, fintech, identity, fraud, risk, or data analytics industries.
• Exposure to Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI architectures, vector databases, or orchestration frameworks.
• Experience contributing to AI platforms, developer tools, internal AI assistants, or AI governance solutions.

We're also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we're happy to support your career development and growth in:

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Experience working within credit reporting, financial services, fintech, identity, fraud, risk, or data analytics industries.
• Exposure to Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI architectures, vector databases, or orchestration frameworks.
• Experience contributing to AI platforms, developer tools, internal AI assistants, or AI governance solutions.
• Awareness of MLOps platforms and model lifecycle management concepts.

TransUnion Overview

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the drivers seat of their professional development while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.

Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.

Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology

For Quick Consideration:

Please drop an email along with your updated resume to [email removed]

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