Live opening · Posted 1 day ago
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Description supplied by the original job listing.
Responsibilities:
Build and deploy autonomous, production-grade AI systems.
Design RAG pipelines for intelligent document processing.
Develop multi-agent frameworks for seamless orchestration.
Create efficient context management for large-scale data.
Automate dynamic AI workflows for evolving business needs.
Ensure reliability, scalability, and regulatory compliance.
Implement performance monitoring for accuracy and relevance.
Integrate AI agents with core business systems.
Requirements:
4+ years building and deploying agentic AI systems in production.
Skilled in creating autonomous AI agents using LangGraph, LLamaIndex, ADK, etc.
Deep expertise in RAG architectures, vector DBs, and document pipelines.
Hands-on with production deployment, monitoring, and optimization.
Experienced in designing feedback loops and quality metrics for AI improvement.
Strong grasp of enterprise AI infrastructure and MLOps best practices and committed to AI safety, ethics, and compliance.
Desired Skills and Experience: custom backend, Artificial General Intelligence.
Experience
4-6 yrs
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