Specialist, Full-Stack AI Engineer
INR 2300K-3500K (estimate) Senior-level Full Time
Tasks
- Automate MLOps and AI platform operations
- Build and maintain internal developer tooling
- Communicate architecture trade offs to stakeholders
- Design cloud and AI platform architectures
- Develop CI/CD pipelines
- Drive FinOps cost monitoring and optimization
- Implement environment promotion and monitoring
- Implement retrieval augmented generation and prompt chaining
- Lead AI orchestration platform design
- Monitor telemetry for reliability and cost control
Perks/Benefits
- N/A
Skills/Tech-stack
ARM Templates | AWS CloudFormation | Amazon Web Services | Authentication | Azure | Azure DevOps | CI/CD | Databricks | Environment promotion | FinOps | Infrastructure as Code | Jenkins | LLM | Learning operations | Logging | Machine Learning | Machine Learning Operations | Monitoring | Observability | Prompt engineering | Retrieval-Augmented Generation | Software development | Software development kit | Telemetry | Terraform | Usage Based Scaling | Version control | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Architect | Cloud Architect | Cloud) | Developer | Engineer | Full Stack | Full Stack Developer | Platform | Platform Engineer
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