AI Agent Developer

Overview

GitHub Copilot

Key Responsibilities

• Software Development:

• Design, develop, and maintain applications using

  Python

  and

  C#

  .
• Strong command of

  GitHub Copilot

  to enhance code generation, reduce development time, and improve code quality.
• Write clean, maintainable, and well-documented code following best practices.
  

• Collaboration & Agile Practices:

• Work closely with product managers, QA engineers, and DevOps teams to deliver features on time.
  
• Participate in agile ceremonies, including sprint planning, stand-ups, and retrospectives.
  
• Conduct peer code reviews and mentor junior developers in using AI-assisted coding tools.
  

• Integration & Automation:

• Build and maintain APIs and microservices integrating Python and C# applications.
  
• Automate repetitive tasks, CI/CD pipelines, and testing workflows using GitHub Actions and other DevOps tools.
  

• Quality Assurance:

• Implement unit, integration, and end-to-end tests.
  
• Optimize application performance and scalability.
  
• Ensure security best practices in coding and data handling.
  

Qualifications

• Education & Experience:

• Bachelors degree in Computer Science, Software Engineering, or equivalent experience.
  
• 4+ years of professional software development experience with

  Python

  and

  C#

  .
• Proven track record of using

  GitHub Copilot

  in a professional setting.

• Technical Skills:

• Strong experience with

  object-oriented programming

  and design patterns.
• Proficiency in API development (REST, GraphQL) and integration.
  
• Familiarity with

  cloud services

  (AWS, Azure, or GCP).
• Experience with relational and NoSQL databases.
  
• Strong understanding of

  Git

  workflows and branching strategies.

• Soft Skills:

• Excellent problem-solving and debugging skills.
  
• Strong communication and teamwork abilities.
  
• Ability to learn and adapt quickly in a fast-paced environment.
  

Preferred Qualifications

• Experience with

  .NET Core

  and cross-platform development.
• Familiarity with containerization (Docker, Kubernetes).
  
• Knowledge of AI/ML integration into software solutions.
  
• Contributions to open-source projects.