Associate Software Engineer

Key Responsibilities

• Design, build, test, and maintain software applications across the full stack under the guidance of senior engineers.
• Use GenAI tools (e.g., GitHub Copilot, Cursor, Claude Code) to accelerate coding, debugging, and documentation.
• Take full ownership of all code changes, including those generated with AI tools.
• Review, test, and thoroughly understand every change before it is merged and released to production.
• Write clean, maintainable, and well-structured code with or without AI assistance.

AI-Assisted Workflows

• Create clear prompts, task definitions, and acceptance criteria to effectively direct AI agents on your own work.
• Apply spec-driven development practices to translate requirements into structured, AI-ready specifications.
• Contribute to AI agent development by helping define agent goals, tool use, and simple task flows under the guidance of senior engineers.
• Review and validate AI-generated code for correctness, quality, security, and maintainability.
• Apply judgment to accept, modify, or reject AI suggestions based on context and team standards.

Testing and Quality

• Generate and improve unit, integration, and regression tests using AI-assisted tools.
• Ensure test coverage meets team standards before code is merged.
• Identify and address security, performance, and reliability concerns early in the development cycle.

Modernization

• Assist in refactoring and modernizing existing codebases using AI-assisted workflows to improve readability, maintainability, and performance.
• Help identify technical debt and contribute to AI-accelerated remediation efforts under senior guidance.

Collaboration

• Participate in architecture discussions, design reviews, and code reviews to learn and contribute to technical direction and quality standards.
• Help maintain custom instructions and prompt engineering guidelines that support consistent, effective AI-assisted development across the team.
• Continuously improve your AI-enabled engineering practices and share learnings, patterns, and tooling insights with peers.

Requirements & Tech Stack

• Bachelor’s degree in computer science or a related field.
• Foundational knowledge of Agile methodologies and software development lifecycle (SDLC) practices.
• Proficiency in object-oriented programming languages such as Java, C++, or C#.
• Basic understanding of web application development using technologies such as Node.js, Angular, or React.
• Familiarity with SQL or NoSQL databases.
• Exposure to REST or SOAP-based APIs.
• Familiarity with version control systems and development tools such as GitHub and IntelliJ.
• Strong problem-solving, debugging, and troubleshooting skills.
• Demonstrated ability to collaborate effectively in team-based environments with strong communication and organizational skills.
• Self-motivated with a proactive approach to learning, innovation, and continuous improvement.
• Comfort working in a fast-paced, customer-focused environment that embraces evolving technologies.
• AI-ready mindset with enthusiasm for leveraging AI-powered development tools.

Preferred Qualifications

• Experience supporting and developing applications using full stack development skills.
• Exposure to building or extending AI agents using frameworks such as LangChain, Copilot Workspace, AutoGen, CrewAI, or similar.
• Experience with at least one cloud platform (GCP, AWS, or Azure).
• Familiarity with secure coding practices.
• Exposure to CI/CD pipelines and DevOps tools such as GitHub Actions.
• Familiarity with test automation frameworks and practices such as test-driven development.
• Experience contributing to software design documentation, technical artifacts, and code review processes.
• Knowledge of Pega platform or business process management tools.
• Exposure to cloud technologies and modern application architectures.
• Ability to identify risks and dependencies and contribute to mitigation planning within development projects.