About This Role
This junior software engineering role focuses on designing, building, testing, deploying, and maintaining modern software applications using advanced Generative AI and agentic development tools to accelerate engineering outcomes. It requires foundational software engineering skills combined with hands-on experience or strong familiarity with AI-assisted coding platforms and large language models.
Responsibilities
- Write, develop, modify, and review quality, testable, and maintainable code across front-end, back-end, API, integration, and data layers under guidance from senior engineers
- Apply an AI-first engineering approach by using modern AI coding assistants and agentic development tools such as Claude, OpenAI models, GitHub Copilot, Cursor, and similar platforms to improve development speed, code quality, documentation, and troubleshooting
- Use agentic coding workflows to assist with code generation, refactoring, unit test creation, debugging, technical documentation, code reviews, and analysis of systems
- Write effective prompts and provide clear engineering context to AI tools in order to generate reliable, secure, and maintainable software solutions
- Validate, review, and refine AI-generated code to ensure correctness, security, performance, maintainability, and alignment with team coding standards
- Support integration of applications and systems through REST APIs, GraphQL, messaging queues, event-driven architectures, databases, and third-party platforms
- Assist in developing and maintaining data pipelines, batch jobs, and data processing solutions using appropriate frameworks and cloud services
- Create and maintain unit, integration, and end-to-end tests, using automation and AI-assisted test generation where appropriate
- Support and contribute to CI/CD pipelines to automate build, test, security scanning, packaging, and deployment processes
- Package and deploy applications across multiple environments using containers, orchestration platforms, and cloud-native deployment tools
- Debug issues using logs, metrics, traces, observability platforms, and AI-assisted root cause analysis tools with support from senior team members
- Monitor application performance and assist in identifying bottlenecks and implementing improvements
- Participate in code reviews and support quality gates using static analysis, automated testing, security scanning, and AI-assisted review tools
- Learn and apply secure coding practices, including input validation, authentication, authorization, encryption, secrets management, and secure API design
- Ensure responsible and compliant use of AI tools, including protection of confidential data, intellectual property, regulated information, and customer-sensitive content
- Maintain technical documentation, implementation guides, and operational support materials, using AI tools where appropriate to improve accuracy and efficiency
