Design, develop, and deploy AI-powered applications leveraging AWS Bedrock and other AWS/Azure AI/ML services.
Build automation scripts, workflows, and orchestration pipelines to streamline business processes across multiple platforms.
Design, optimize, and manage RESTful APIs connecting cloud services, enterprise systems, and third-party platforms.
Integrate solutions across on-premises, cloud, SaaS, and legacy environments.
Create robust pipelines for training, inference, and analytics using AWS/Azure services such as ADO Pipelines, Lambda, Step Functions, and S3.
Optimize AI Agents and APIs for speed, security, and high availability in distributed environments.
Implement logging, monitoring, and automated testing for AI Agents, APIs, and workflows.
Requirements
Bachelor’s or master’s degree in computer science, Software Engineering, Artificial Intelligence, or related field.
Proficiency in Python and at least one additional programming language (Java, JavaScript/Node.js, Go, C#, etc.).
Hands-on experience with cloud platforms and knowledge with AWS Bedrock and AWS AI/ML ecosystem (SageMaker, Lambda, Step Functions, API Gateway, DynamoDB, S3).
Proven experience with automation scripting (Python, Bash, PowerShell) and orchestration frameworks.
Strong API integration skills (REST) with experience in authentication, authorization, and API performance optimization.
Familiarity with multi-cloud and hybrid cloud architecture.
Adaptability in rapidly evolving AI and automation landscapes.
Good English communication skills and ability to work across teams including cloud, compute platform, security, DevOps, and support.
Benefits
Work from Home, in-office, or hybrid
Employee Belonging Groups
Healthcare: Dental, Medical, and Vision
Paid Vacation, Volunteer, and Holiday Time Off
And so much more!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.