About the Role
The role involves combining software engineering with AI-driven development tools to improve productivity, code quality, and system architecture across technical teams.
Responsibilities
- Develop and refine software using AI-powered coding assistants
- Integrate AI tools into existing development pipelines
- Optimize code quality and maintainability with machine learning suggestions
- Collaborate with engineers to adopt AI-augmented workflows
- Evaluate performance and accuracy of AI-generated code
- Support best practices in secure and scalable coding
- Iterate on system designs using AI-driven feedback
- Document implementation patterns enhanced by AI
- Stay current with advancements in AI and software engineering
- Troubleshoot issues arising from AI-assisted development
- Contribute to internal knowledge sharing on AI tools
- Assist in training teams on effective AI integration
- Monitor ethical use of AI in code production
- Ensure compliance with data privacy standards
- Work across cross-functional teams to deploy AI-enhanced solutions
- Refactor legacy systems using AI-generated insights
- Improve testing frameworks with AI-based suggestions
- Streamline debugging processes using intelligent tools
- Enhance developer experience through automation
- Participate in code reviews involving AI-written segments
- Balance automation with human oversight in development
- Measure impact of AI tools on team velocity
- Identify limitations and risks in AI-generated outputs
- Support continuous learning in AI applications
- Promote responsible adoption of emerging technologies
Compensation
Competitive salary based on experience and location
Work Arrangement
Hybrid working model with flexible remote options
Team
Collaborative engineering environment focused on innovation and technical excellence
Why This Role Matters
- This position sits at the intersection of cutting-edge AI and practical engineering, shaping how developers build software using intelligent tools.
- It enables faster iteration, reduces repetitive tasks, and raises the baseline of code quality across teams.
Technology Stack
- Uses AI coding assistants, modern IDEs, cloud infrastructure, CI/CD pipelines, and collaborative development platforms.
- Leverages real-time feedback systems and automated code analysis tools.
Available for qualified candidates depending on location
