Artificial Intelligence Developer
Bengaluru, Karnataka, India
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Apply responsible AI governance controls
- Build AI powered applications on Azure
- Build CI/CD pipelines in Azure DevOps
- Collaborate with architecture team on design decisions
- Configure Azure AI deployments and token quotas
- Create data ingestion and preprocessing pipelines
- Deploy and operate local or self hosted model services
- Design cost efficient model architecture
- Develop RAG pipelines
- Document technical architecture and runbooks
- Enforce security with identity and access management
- Implement API layers for AI capabilities
- Implement agentic conversational workflows
- Instrument applications with monitoring and metrics
- Integrate LLM features into applications
- Integrate with enterprise data sources and platforms
- Manage secrets and private network connectivity
- Mentor junior developers on AI patterns
- Provision cloud infrastructure with Infrastructure as Code
Perks/Benefits
- N/A
Skills/Tech-stack
AI Document Intelligence | AI Foundry | AI Search | AI content safety | AKS | API Management | App Service | Application Insights | Audit Logging | Azure AI | Azure AI Content Safety | Azure AI Document Intelligence | Azure AI Foundry | Azure AI Search | Azure API | Azure API Management | Azure App | Azure App Service | Azure Container | Azure Container Apps | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Functions | Azure Key Vault | Azure Monitor | Azure OpenAI | Azure OpenAI Service | Bicep | CI/CD | Chunking | Claude Code | Container Apps | Content Safety | DLP | Data Lake Storage | Document Intelligence | Embeddings | Entra ID | FastAPI | Flask | Key Vault | Langchain | Llamaindex | LocalAI | Managed Identity | OCR | Ollama | OpenAI Service | PII Detection | Private Endpoint | Python | RAG | RBAC | Rate Limiting | Semantic Kernel | Terraform | Token Quota | VLLM | Vector Search
Education
N/A
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