Senior Enterprise Software Engineer -AI Operations
INR 2000K-4500K (estimate) Senior-level Full Time
Tasks
- Architect cloud native AI systems end to end
- Build RAG knowledge systems with vector retrieval
- Configure serverless and containerized model serving infrastructure
- Create MLOps pipelines for experiment tracking and model lifecycle
- Deliver LLM serving evaluation and continuous monitoring
- Design multi agent orchestration pipelines
- Develop responsible AI guardrails and safety evaluation
- Establish AI evaluation frameworks and automated risk testing
- Implement LLM fine tuning workflows and model governance
- Mentor engineers and lead technical design reviews
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Search | API Management | AWS CDK | AWS Lambda | AWS X-Ray | Agent Service | Agent systems | Amazon Bedrock | Amazon CloudWatch | Amazon EKS | Amazon EKS Autoscaling | Amazon S3 | Autogen | Azure AI | Azure AI Agent | Azure AI Agent Service | Azure AI Foundry | Azure AI Search | Azure API | Azure API Management | Azure Bicep | Azure Event | Azure Event Hubs | Azure Key Vault | Azure Monitor | Azure OpenAI | Drift Detection | Evaluation Pipelines | Event Hubs | Fine Tuning | Guardrails | Inference Server | Karpenter | Key Vault | LLM Fine-tuning | MLflow | Microsoft Semantic Kernel | Model Drift | Model Drift Detection | Model Monitoring | Multi-Agent | Multi-Agent Systems | Private Endpoint | Prompt Caching | Prompt Routing | Prompt engineering | RAG | Red Teaming | Reinforcement Fine Tuning | Semantic Kernel | Terraform | Triton Inference | Triton Inference Server | VNet | Vector Databases | X-Ray
Education
N/A
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