Senior Engineer, Agentic AI & MLOps Engineering (5-8 years)
INR 3700K-5000K (estimate) Senior-level Full Time
Tasks
- Architect agentic AI systems
- Build RAG retrieval systems
- Create prompt frameworks and guardrails
- Debug AI production issues
- Design build and deploy LLM powered applications
- Design vector database and retrieval strategies
- Develop and optimize MLOps pipelines
- Evaluate agents for production robustness
- Implement LLM evaluation pipelines
- Integrate LLM systems with enterprise APIs
- Orchestrate multi-agent workflows
- Set up observability feedback loops and monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agent Orchestration | Agent systems | Deep learning | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Performance Monitoring | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Tool orchestration | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology | Master of Engineering | Master of Science | Master of Technology
Roles
AI | AI Engineer | Engineer | Learning Engineer | MLOps Engineer | Machine Learning Engineer
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