Cloud and AI Integration Engineer
IND19-01-Bengaluru-EPIP 122 (Phase II), India
INR 2500K-3500K (estimate) Senior-level Full Time
Tasks
- Add guardrails and safety measures
- Build MCP servers
- Build cloud native architecture
- Build prompt engineering and context retrieval pipelines
- Create context providers and adapters
- Create infrastructure as code
- Deploy containers with Docker and Kubernetes
- Design microservices applications
- Develop CI/CD pipelines
- Develop backend services
- Ensure secure handling of healthcare data
- Implement distributed systems best practices
- Implement orchestration and tool invocation
- Integrate AI capabilities with LLMs
Perks/Benefits
Skills/Tech-stack
API first | AWS | Agentic AI | Azure | CI/CD | Caching | Cloud Computing | Cloud platform | Distributed Systems | Docker | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Idempotency | Infrastructure as Code | Kubernetes | LLM | MCP | Microservices | Monitoring | Observability | Prompt engineering | Pulumi | Rate Limiting | Response Orchestration | Retrieval-Augmented Generation | Terraform | Tool invocation | TypeScript | “as-code”
Roles
Regions
Countries
States
Cities
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