Cloud Engineer GenAI
Tasks
- Build and maintain reusable GenAI platform services
- Configure guardrails and compliance controls
- Create CI CD pipelines for model and application deployment
- Deliver well documented platform services for product squads
- Deploy scale and operate model serving and inference endpoints
- Design cloud infrastructure for Generative AI on AWS
- Drive performance and FinOps cost optimization
- Implement LLMOps pipelines for evaluation and rollback
- Implement embeddings and retrieval services
- Secure workloads with IAM network and secrets management
- Set up monitoring logging tracing and evaluation hooks
- Set up retrieval pipelines for RAG using vector databases
Perks/Benefits
- Coaching
- Company car or alternative mobility solutions
- Compensatory days off
- Eco vouchers
- Employee discounts
- Group insurance
- Hospitalization insurance
- Internal learning platform
- Laptop
- Meal vouchers
- Mobile phone
- Mobility budget
- On-the-job training
- Paid leave
Skills/Tech-stack
AWS CloudFormation | AWS Identity | AWS Identity and Access Management | Access Management | Amazon ECS | Amazon Fargate | Amazon Web Services | CI/CD | Distributed tracing | Docker | Embeddings | FinOps | GitLab CI | HashiCorp Vault | Identity and Access Management | Inference endpoints | Kubernetes | LLMOps | Linux | Logging | MLOps | Model Serving | Monitoring | Networking | Python | RAG | Retrieval-Augmented Generation | SRE | Secrets management | Terraform | Vault | Vector Database | Web Services
Education
Roles
Cloud Engineer | Cloud) | DevOps | DevOps Engineer | Engineer
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