We're seeking an experienced Generative AI Specialist to design and implement sophisticated agentic AI systems that can autonomously handle complex workflows. You'll be responsible for architecting AI agents that can interact with various data sources, make intelligent decisions, and deliver actionable insights to our customers. This role represents a unique opportunity to pioneer enterprise-scale agentic AI implementation, establishing new paradigms for autonomous decision-making and intelligent automation.
Key Responsibilities:
Design and deploy production-grade agentic AI systems that can autonomously process customer documents and queries
Architect retrieval-augmented generation (RAG) pipelines for large-scale document management and intelligent information extraction
Implement multi-agent orchestration frameworks that can coordinate between different specialized AI components
Develop robust context management systems for handling extensive customer data while maintaining efficiency and accuracy
Create and optimize AI workflow automation that can handle dynamic customer requirements and business scenarios
Ensure AI system reliability, scalability, and compliance with industry regulations
Implement comprehensive performance monitoring systems to track AI output quality, accuracy, and relevance
Collaborate with cross-functional teams to integrate AI agents with existing business processes and systems.
Key Responsibilities:
Design and deploy production-grade agentic AI systems that can autonomously process customer documents and queries
Architect retrieval-augmented generation (RAG) pipelines for large-scale document management and intelligent information extraction
Implement multi-agent orchestration frameworks that can coordinate between different specialized AI components
Develop robust context management systems for handling extensive customer data while maintaining efficiency and accuracy
Create and optimize AI workflow automation that can handle dynamic customer requirements and business scenarios
Ensure AI system reliability, scalability, and compliance with industry regulations
Implement comprehensive performance monitoring systems to track AI output quality, accuracy, and relevance
Collaborate with cross-functional teams to integrate AI agents with existing business processes and systems.
Requirements:
Minimum 2 years of hands-on experience developing and deploying agentic AI systems in production environments
Proven track record of building AI agents that can autonomously handle complex tasks and decision-making
Strong experience with RAG architectures, vector databases, and document processing pipelines
Experience with production deployment of AI systems including monitoring, testing, and optimization
Proven experience designing quality metrics, feedback loops, and continuous improvement processes for AI systems
Knowledge of enterprise-grade AI infrastructure and MLOps practices
Knowledge of AI safety, ethics, and compliance requirements.
Minimum 2 years of hands-on experience developing and deploying agentic AI systems in production environments
Proven track record of building AI agents that can autonomously handle complex tasks and decision-making
Strong experience with RAG architectures, vector databases, and document processing pipelines
Experience with production deployment of AI systems including monitoring, testing, and optimization
Proven experience designing quality metrics, feedback loops, and continuous improvement processes for AI systems
Knowledge of enterprise-grade AI infrastructure and MLOps practices
Knowledge of AI safety, ethics, and compliance requirements.
This position is open to all candidates.
