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

1.  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. 

 2. 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: 

Career growth opportunities. 

Experience leaders to support your professional development. 

Dynamic and international work environment.