Hiring for AI / ML Engineer | Upto 45-80 LPA

AI Infrastructure Architecture :

• Design and implement asynchronous multi-agent orchestration
• Own end-to-end latency from user message to AI response
• Build resilient inference pipelines that gracefully degrade under load
• Implement intelligent request routing and load balancing for AI workloads
• Migrate critical AI conversation flow from monolith to dedicated services
• Implement WebSocket / streaming infrastructure for real-time chat
• Design circuit breakers and fallback strategies for AI model failures
• Build comprehensive observability for AI system performance
• Optimize credit data retrieval and caching strategies

Requirements

Must-Have Experience :

10k concurrent users

AI-Specific Expertise :

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Skills Required

AI inference optimization, message queues, conversation state management, real-time communication protocols, async event-driven architectures, WebSocket streaming infrastructure, resilient inference pipelines, asynchronous multi-agent orchestration, load balancing for AI workloads, intelligent request routing, caching strategies, circuit breakers and fallback strategies, observability for AI system performance, scaling ML AI inference