AI Development Engineer

Key Responsibilities
 

• Develop and maintain scalable applications and solutions in AWS native environments.
   
• Build, deploy, and integrate microservices architectures for AI-enabled products.
   
• Collaborate closely with product, engineering, and business teams to identify AI opportunities and embed AI features in our offerings.
   
• Utilize Python to build robust, efficient, and maintainable code.
   
• Apply existing, mature AI models and services to enhance product functionality and improve business outcomes.
   
• Participate in code reviews and adhere to development best practices.
   
• Ensure seamless communication between various cloud-based components and services within AWS.
   
• Support the design, testing, and troubleshooting of cloud-native AI applications.
   
• Foster a collaborative team environment by contributing ideas and openly engaging with peers.
   

Requirements

• Proficient in Python development with extensive hands-on experience.
   
• Strong expertise in AWS services (e.g., Lambda, S3, EC2, SageMaker, DynamoDB).
   
• Familiarity with microservices architecture and cloud-native development.
   
• Experience in deploying and managing AI-powered applications within cloud ecosystems.
   
• Ability to work with existing AI models and integrate them into products.
   
• Excellent communication skills with the ability to convey complex technical concepts clearly.
   
• Strong team player and collaborator, able to work effectively across multidisciplinary teams.
   

Preferred Qualifications
 

• Background or knowledge in AI/ML concepts and frameworks.
   
• Experience with DevOps and continuous integration/continuous deployment (CI/CD) pipelines.
   
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
   
• Prior experience with AWS tools like SageMaker, Rekognition, or Comprehend.​