The Role We re looking for a senior AI engineer who can build production-grade agentic AI systems You ll be working at the intersection of cutting-edge AI research and scalable engineering creating autonomous agents that can reason plan and execute complex tasks reliably at scale What We Need Agentic AI LLM Engineering You should have hands-on experience with Multi-agent systems Building agents that coordinate communicate and work together on complex workflowsAgent orchestration Designing systems where AI agents can plan multi-step tasks use tools and make autonomous decisionsLLMOps Experience End-to-End LLM Lifecycle Management - hands-on experience managing the complete LLM workflow from prompt engineering and dataset curation through model fine-tuning evaluation and deployment This includes versioning prompts managing training datasets orchestrating distributed training jobs and implementing automated model validation pipelines Production LLM Infrastructure - experience building and maintaining production LLM serving infrastructure including model registries A B testing frameworks for comparing model versions automated rollback mechanisms and monitoring systems that track model performance latency and cost metrics in real-time AI Observability Experience implementing comprehensive monitoring and tracing for AI systems including prompt tracking model output analysis cost monitoring and agent decision-making visibility across complex workflows Evaluation frameworks Creating comprehensive testing for agent performance safety and goal achievementLLM inference optimization Scaling model serving with techniques like batching caching and effective frameworks vLLM TensorRT-LLM Systems Engineering Strong backend development skills including Python expertise FastAPI Django or Flask for building robust APIs that handle agent workflowsDistributed systems Microservices event-driven architectures and message queues Kafka RabbitMQ for agent coordinationDatabase strategy Vector databases traditional SQL NoSQL and caching layers optimized for agent state managementWeb-scale design Systems handling millions of requests with proper load balancing and fault tolerance DevOps Non-negotiable Kubernetes Working knowledge required - deployments services cluster managementContainerization Docker with production optimization and security best practicesCI CD Automated testing and deployment pipelinesInfrastructure as Code Terraform Helm chartsMonitoring Prometheus Grafana for tracking complex agent behaviors Programing Language Java Python What You ll Build You ll architect the infrastructure that powers our autonomous AI systems Agent Orchestration Platform Multi-agent coordination systems that handle complex long-running workflows with proper state management and failure recovery Evaluation Infrastructure Comprehensive frameworks that assess agent performance across goal achievement efficiency safety and decision-making quality Production AI Services High-throughput systems serving millions of users with intelligent resource management and robust fallback mechanisms Training Systems Scalable pipelines for SFT and DPO that continuously improve agent capabilities based on real-world performance and human feedback Who You Are You ve spent serious time in production environments building AI systems that actually work You understand the unique challenges of agentic AI - managing state across long conversations handling partial failures in multi-step processes and ensuring agents stay aligned with their intended goals You ve dealt with the reality that the hardest problems aren t always algorithmic Sometimes it s about making an agent retry gracefully when an API call fails or designing an observability layer that catches when an agent starts behaving unexpectedly or building systems that can scale from handling dozens of agent interactions to millions You re excited about the potential of AI agents but pragmatic about the engineering work required to make them reliable in production

📌 Data Engineer- Senior Data Engineer (Karnataka)
🏢 Paytm
📍 Karnataka