[Remote] Artificial Intelligence Engineer (W2 only)

Note: The job is a remote job and is open to candidates in USA. Iris Software Inc. is seeking a highly skilled AI Engineer with a strong background in programming with Python and DevOps practices. The role involves developing and optimizing AI models, particularly focusing on Large Language Models (LLMs), and ensuring secure deployment and management of applications in an AWS environment.

Responsibilities

• Develop, implement, and optimize AI models, particularly focusing on Large Language Models (LLMs)
• Design, build, and maintain efficient, reusable, and reliable Python code to create scalable AI and machine learning solutions
• Implement prompt engineering techniques to improve model accuracy and effectiveness
• Utilize DevOps practices to automate and streamline the deployment, management, and monitoring of software systems in an AWS environment
• Deploy AI and machine learning applications rapidly and effectively using AWS services
• Ensure secure deployment and management of applications by implementing robust cybersecurity measures and best practices
• Manage and streamline identity management and SSO within applications to ensure secure and efficient user access
• Configure and manage roles and policies in AWS to maintain secure and compliant cloud infrastructure
• Collaborate with cross-functional teams to define and achieve project milestones and deliverables

Skills

• Strong background in programming with Python
• Extensive experience working with Large Language Models (LLMs)
• Proficient in deploying applications rapidly to AWS
• Deep understanding of cybersecurity, identity management, and Single Sign-On (SSO) with applications
• Expertise in managing roles and policies within AWS
• Advanced proficiency in Python, with a strong understanding of its libraries and frameworks used for AI and machine learning
• Extensive experience working with Large Language Models (LLMs), prompt engineering, and machine learning algorithms
• Proven experience in DevOps practices, including CI/CD pipelines, automation, and infrastructure as code
• Deep knowledge of AWS services, including EC2, S3, Lambda, SageMaker, RDS, IAM, and CloudFormation
• Strong understanding of cybersecurity principles and best practices
• Expertise in identity management, SSO, and integrating these with applications
• Proficiency in configuring and managing roles and policies within AWS to ensure secure and compliant operations
• Ability to deploy applications rapidly and effectively to AWS
• Excellent analytical and problem-solving skills
• Strong verbal and written communication skills to effectively collaborate with team members and stakeholders

Company Overview