Senior AI Software Developer
Salary undisclosed
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Join our dynamic AI Center of Excellence as a Senior AI Software Engineer, where you’ll architect and deploy cutting-edge AI solutions that tackle strategic business challenges. Leverage your advanced software development skills and deep AI knowledge to mentor junior developers and drive innovation. Your leadership will play a pivotal role in enhancing Garrett's AI capabilities and shaping the future of technology in our organization.
Key Job Responsibilities
1. Software Development
• Architect and maintain high-quality AI solutions aligned with business goals.
• Lead design and implementation, writing clean, efficient code and conducting thorough code reviews.
2. Testing and Quality Assurance
• Develop comprehensive test plans and advocate for automated testing.
• Collaborate on defect resolution and mentor junior developers in QA practices.
3. Deployment and Maintenance
• Oversee seamless deployment into production and monitor performance for optimal functionality.
• Provide ongoing support, addressing issues and implementing updates.
4. Collaboration and Communication
• Work with cross-functional teams to ensure alignment and successful project outcomes.
• Document technical details and conduct training sessions for team knowledge sharing.
5. Continuous Improvement and Leadership
• Review and refine development methodologies to boost productivity and quality.
• Mentor junior developers, lead retrospectives, and foster a culture of continuous improvement.
Education / Qualifications
• Bachelor’s degree in computer science, Software Engineering, or a related field: A solid foundational understanding of computer science principles and software engineering practices is essential.
• Master’s Degree (preferred): Advanced education in relevant fields is a plus, demonstrating a deeper expertise and commitment to the field.
Experience Required
• Hands on experience in software development, focusing on .NET or Java.
• Extensive proficiency in Python.
• Proven background in AI development, especially with Large Language Models (LLMs) and advanced AI technologies.
Key Skills and Knowledge
Technical Skills
• Expert proficiency in .NET or Java and Python, with a comprehensive understanding of the software development lifecycle.
• Strong knowledge of AI technologies and frameworks, with extensive hands-on experience in integrating AI into software solutions.
• Deep familiarity with machine learning algorithms, data processing techniques, and model deployment strategies.
• Experience with version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines, and agile development methodologies.
• Comprehensive experience in testing methodologies, including unit testing, integration testing, and performance testing.
• Proficiency in automated testing tools and frameworks to enhance the quality assurance process.
• Extensive experience with cloud platforms, particularly AWS, with expertise in deploying and managing applications in a cloud environment.
• In-depth knowledge of AWS services such as EC2, S3, Lambda, RDS, and experience with infrastructure-as-code tools like AWS CloudFormation or Terraform.
• Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
Soft Skills
• Excellent problem-solving abilities and analytical thinking, with a proactive approach to addressing complex challenges.
• Strong communication skills, both written and verbal, to effectively collaborate with cross-functional teams and stakeholders.
• Demonstrated leadership abilities, with experience in mentoring and guiding junior developers.
• Ability to work independently and as part of a team, demonstrating flexibility and adaptability.
• A proactive approach to learning new technologies and staying updated with industry trends.
• Strong organizational skills, with the ability to manage multiple projects and deadlines effectively.
Perks & Benefits:
• Competitive salary and an attractive benefits package.
• Extensive training programs.
• Career growth opportunities.
• Experience leaders to support your professional development.
• Dynamic and international work environment.
Key Job Responsibilities
1. Software Development
• Architect and maintain high-quality AI solutions aligned with business goals.
• Lead design and implementation, writing clean, efficient code and conducting thorough code reviews.
2. Testing and Quality Assurance
• Develop comprehensive test plans and advocate for automated testing.
• Collaborate on defect resolution and mentor junior developers in QA practices.
3. Deployment and Maintenance
• Oversee seamless deployment into production and monitor performance for optimal functionality.
• Provide ongoing support, addressing issues and implementing updates.
4. Collaboration and Communication
• Work with cross-functional teams to ensure alignment and successful project outcomes.
• Document technical details and conduct training sessions for team knowledge sharing.
5. Continuous Improvement and Leadership
• Review and refine development methodologies to boost productivity and quality.
• Mentor junior developers, lead retrospectives, and foster a culture of continuous improvement.
Education / Qualifications
• Bachelor’s degree in computer science, Software Engineering, or a related field: A solid foundational understanding of computer science principles and software engineering practices is essential.
• Master’s Degree (preferred): Advanced education in relevant fields is a plus, demonstrating a deeper expertise and commitment to the field.
Experience Required
• Hands on experience in software development, focusing on .NET or Java.
• Extensive proficiency in Python.
• Proven background in AI development, especially with Large Language Models (LLMs) and advanced AI technologies.
Key Skills and Knowledge
Technical Skills
• Expert proficiency in .NET or Java and Python, with a comprehensive understanding of the software development lifecycle.
• Strong knowledge of AI technologies and frameworks, with extensive hands-on experience in integrating AI into software solutions.
• Deep familiarity with machine learning algorithms, data processing techniques, and model deployment strategies.
• Experience with version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines, and agile development methodologies.
• Comprehensive experience in testing methodologies, including unit testing, integration testing, and performance testing.
• Proficiency in automated testing tools and frameworks to enhance the quality assurance process.
• Extensive experience with cloud platforms, particularly AWS, with expertise in deploying and managing applications in a cloud environment.
• In-depth knowledge of AWS services such as EC2, S3, Lambda, RDS, and experience with infrastructure-as-code tools like AWS CloudFormation or Terraform.
• Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
Soft Skills
• Excellent problem-solving abilities and analytical thinking, with a proactive approach to addressing complex challenges.
• Strong communication skills, both written and verbal, to effectively collaborate with cross-functional teams and stakeholders.
• Demonstrated leadership abilities, with experience in mentoring and guiding junior developers.
• Ability to work independently and as part of a team, demonstrating flexibility and adaptability.
• A proactive approach to learning new technologies and staying updated with industry trends.
• Strong organizational skills, with the ability to manage multiple projects and deadlines effectively.
Perks & Benefits:
• Competitive salary and an attractive benefits package.
• Extensive training programs.
• Career growth opportunities.
• Experience leaders to support your professional development.
• Dynamic and international work environment.