Position Responsibilities

• Undertake analysis, design, coding and testing activities of modules
• Develop software on time and to required quality standards
• Support the company's development processes and development guidelines including code reviews, coding style and unit testing requirements.
• Assist in designing and implementing solutions that leverage AI agents, source code repositories, and knowledge bases to automate case resolution and code remediation.
• Work closely with senior engineers, actively participate in team discussions, and seek mentorship to accelerate your learning.

Qualifications

AI-First Mindset

• Approaches every challenge by asking, “How can AI transform this?”
• Sees GenAI and LLMs as core building blocks for designing smarter, adaptive systems.
• Experiments with prompt engineering, AI coding assistants (e.g., Claude, ChatGPT, GitHub Copilot), and agent-based frameworks to amplify creativity and accelerate learning.
• Curious about emerging AI technologies and how they can reshape workflows, not just improve them.

Foundational Software Development Skills

• Solid understanding of object-oriented programming principles and design patterns.
• Working knowledge of C#/.NET or Java
• Exposure to relational databases (SQL Server or Oracle) and basic SQL concepts/operations.
• Understanding of version control (Git) and CI/CD concepts.
• Awareness of core software engineering principles such as OOP, SOLID, and testing.

Professional Growth and Collaboration

• A learning mindset: eager to grow under mentorship from senior engineers.
• A collaborative communicator who values feedback and team success.
• Demonstrated problem-solving ability with attention to quality and detail.
• Enthusiasm for experimenting, iterating, and building AI-enabled solutions that go beyond efficiency to transformation.