O

AI Engineer

salary Salary :

$7,000 - 12,000 monthly

icon briefcase Job Type : Full Time

Number of Applicants

 : 

000+

Click to reveal the number of candidates who applied for this job.

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Job Description - AI Engineer

Job Summary

You will develop and deploy AI/ML solutions focusing on Amazon Bedrock knowledge bases, skill marketplaces, and Microsoft Exchange integration, while supporting backend development and cloud infrastructure to enhance system observability, security, and cost management.

Responsibilities

  • Design and implement document ingestion pipelines, vector indexing, and retrieval-augmented generation (RAG) tuning for Amazon Bedrock knowledge bases to optimize AI/ML model performance
  • Develop and validate skill packaging and integrate AgentCore gateway with version control to enhance skills marketplace functionality
  • Integrate Microsoft Exchange connector using Graph API and OAuth, managing draft-review-send workflows with human-in-the-loop patterns to improve communication processes
  • Deploy AI/ML applications to ECS and AgentCore runtime environments ensuring reliable operation
  • Aggregate APIs and shape responses in the backend-for-frontend (BFF) layer to streamline data delivery
  • Implement authentication and session management using federated Active Directory and OAuth token exchange to secure user access
  • Manage access control at agent, skill, and knowledge base levels using IAM policies, resource-level permissions, and sharing workflows to enforce security
  • Monitor agent and large language model (LLM) performance using CloudWatch dashboards and Bedrock model invocation metrics to maintain system health
  • Track costs and allocate billing through resource tagging and Cost Explorer reporting by user and department to optimize budget management
  • Maintain audit logs for permission changes, agent/skill access, and knowledge base activity to ensure compliance and traceability
  • Provision cloud infrastructure using Infrastructure as Code tools such as CloudFormation and CDK to automate environment setup
  • Manage multi-environment deployments and go-live processes using CI/CD pipelines, runbooks, and scaling policies to ensure smooth releases

Preferred competencies and qualifications

  • Experience in backend or application development focusing on API aggregation and authentication mechanisms
  • Familiarity with DevOps practices including observability, cost tracking, audit logging, and infrastructure automation
Original job AI Engineer posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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