AI & Cloud Engineering

Tasks

• Build AI-powered automation
• Build and maintain APIs and microservices
• Build data security and governance
• Build machine learning pipelines
• Build scalable AWS architectures
• Create infrastructure as code
• Deploy models to production
• Design machine learning models
• Develop NLP and LLM integrations
• Develop chatbots and recommendation engines
• Fine-tune and optimize models
• Implement CI/CD and testing
• Implement RAG architectures
• Implement access controls and audit logging
• Implement security and compliance controls
• Integrate AI APIs into applications
• Monitor model drift
• Support HIPAA compliance
• Support SOC 2 compliance

Perks/Benefits

• 100 percent remote
• Full-time

Skills/Tech-stack

API Gateway | AWS Bedrock | AWS CDK | AWS CloudFormation | AWS Lambda | AWS SageMaker | AWS Step Functions | Access Control | Amazon API | Amazon API Gateway | Amazon EC2 | Amazon S3 | Audit Logging | CI/CD | CloudTrail | Deep learning | Docker | Encryption | Generative AI | Git | GuardDuty | HIPAA | Hugging Face | IAM | KMS | Kubernetes | LLM | Langchain | MLOps | Machine Learning | NLP | NoSQL | OpenAI API | Python | RAG | SOC 2 | SQL | Security Hub | Step Functions | Terraform | Vector Databases