AI Applications Engineer
INR 3242K-5000K (estimate) Senior-level Full Time
Tasks
- Build and maintain CI CD delivery pipelines
- Build and operate AI platform on cloud
- Build reusable components and self service tooling
- Build secure data connectors and integration pipelines
- Configure policy as code controls
- Document and support platform for builders
- Engineer security and governance guardrails
- Implement IAM and secrets management
- Implement model evaluation and prompt version management
- Instrument monitoring logging and SLOs
- Own platform reliability and incident response
- Provision and manage infrastructure as code
- Stand up model and agent runtime for production
Perks/Benefits
- N/A
Skills/Tech-stack
Agent runtime | CI/CD | Data Pipelines | Docker | Google Cloud | IAM | Incident Response | Infrastructure as Code | Integration | Kubernetes | LLMOps | Logging | MLOps | Model Evaluation | Model Serving | Monitoring | Network Egress | Observability | Policy-as-Code | Prompt and Version Management | Prompt engineering | Retrieval-Augmented Generation | SLOs | Secrets management | Terraform | Tool integration | Version Management | Version control | “as-code”
Education
N/A
Roles
AI | AI Platform Engineer | DevOps | DevOps Engineer | Engineer | ML Platform Engineer | Platform Engineer
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