About the role
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:
- 2+ years building and deploying agentic AI systems in production.
- Skilled in creating autonomous AI agents using LangGraph, Llamandev, ADK, etc.
- Deep expertise in RAG architectures, vector DBs, and document pipelines.
- Hands-on with production deployment, monitoring, and optimisation.
- 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.