Engineering Manager, AI Platform
INR 2000K-4007K (estimate) Mid-level Full Time
Tasks
- Balance latency throughput quality and operational efficiency
- Conduct design and code reviews
- Define AI guardrails and decision boundaries
- Define evaluation frameworks and quality standards
- Deliver AI accelerators from concept to production
- Develop orchestration frameworks and retrieval systems
- Drive architecture decisions for model routing inference optimization caching batching and cost management
- Ensure alignment with security compliance and responsible AI requirements
- Ensure scalability reliability and measurable impact
- Establish human in the loop escalation processes
- Hire mentor coach engineers
- Implement testing and regression strategies for releases
- Integrate tools into conversational experiences
- Lead end to end development of AI agent capabilities
- Optimize real time and batch system performance
- Participate in technical planning and operational readiness
- Provide technical leadership for architecture design patterns and best practices
- Set metrics for accuracy grounding citation relevance reliability
Perks/Benefits
Skills/Tech-stack
AI orchestration | AWS | Agentic AI | Autogen | Azure | Batch Processing | Benchmarking | Caching | Distributed Systems | Event Driven | Event-driven architecture | Fine Tuning | Generative AI | Hallucination detection | Human-in-the-loop | Inference Optimization | Information Retrieval | Langchain | Langgraph | Language Models | Large Language Models | MCP | Machine Learning | Model Evaluation | Model Optimization | PostgreSQL | Python | RAG | React | Regression testing | Retrieval-Augmented Generation | Search Technologies | Semantic Kernel | Test automation | The Loop | TypeScript | Vector Databases
Education
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