Advanced AI System Architect

7 days ago

erode, India beBeeEngineer Full time

Expertise in AI EngineeringWe're seeking a Senior Artificial Intelligence Engineer to own our cutting-edge RAG, text-to-SQL copilots, and LLMOps systems end-to-end. This role involves designing reliable, high-accuracy AI systems that power mission-critical workflows while driving engineering standards.Key Responsibilities:Design and scale agentic RAG and text-to-SQL copilots capable of handling 50K+ daily queries with 99.9%+ reliability and high semantic accuracy.Build, maintain, and optimize our LLMOps stack using tools like LangGraph, LangSmith, MLflow, Kubernetes, async inference, and cloud LLM providers such as AWS Bedrock, Google Vertex, Azure OpenAI, Anthropic, etc.Develop and maintain MCP server integrations, ensuring robust and efficient runtime execution across agents and tools.Implement evaluation frameworks and guardrails to minimize hallucinations, reduce drift, and cut token/cost overhead by ~30%.Own system observability & performance, including latency, throughput, cost optimization, caching, and retrieval quality.Optimize inference, retrieval, and orchestration pipelines for scale and reliability.Requirements:5+ years in software or ML engineering, including production-grade LLM or RAG systems.Strong Python engineering skills and hands-on experience with RAG, agent architectures, tool-calling, and text-to-SQL copilots.Proven experience with MCP servers, vector databases, and retrieval-augmented architectures.Expertise in agent development, LLM integration workflows, prompt engineering, and runtime orchestration systems.Hands-on with container orchestration and infra: Kubernetes, async workers, queueing systems, observability stacks, etc.What We're Looking For:Ownership mindset with the ability to convert prototypes into robust, high-traffic production systems.

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