AI ML Engineer (IT Infrastructure & Operations)
India, Bangalore, RMZ
INR 2000K-5000K (estimate) Senior-level Full Time
Tasks
- Automate troubleshooting incident management and root cause analysis
- Build AI assistants copilots RAG systems and autonomous agents
- Build automation workflows and integrate with enterprise systems and APIs
- Design, develop, and deploy AI applications
- Develop agentic AI workflows with reasoning planning and orchestration
- Develop backend services and APIs for AI applications
- Implement RAG using vector databases and knowledge repositories
- Implement monitoring logging testing and governance for production AI systems
- Integrate AI solutions with Linux compute storage networking and monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | API Development | AWS | Amazon SageMaker | CI/CD | Distributed Systems | Generative AI | Git | GitHub Copilot | Langchain | Langgraph | Language Models | Large Language Models | Linux | Logging | MLOps | Monitoring | N8n | Python | RAG | REST APIs | Retrieval-Augmented Generation | Semantic Search | Shell Scripting | Testing | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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