Design and develop autonomous AI agents using agentic design patterns (e.g.
reflection reasoning tool-use collaboration).
Implement multi-agent systems capable of task delegation planning and decision-
making.
Build and maintain Knowledge Graphs using GraphDB to support semantic search
contextual reasoning and data enrichment.
Integrate AI agents with external tools APIs and databases to enable dynamic
workflows.
Collaborate with data scientists domain SMEs and architects to define ontology
models entity relationships and graph schemas.
Optimize agent performance through feedback loops RLHF and context-aware
protocols (e.g. MCP).
Ensure scalability security and compliance of AI systems across cloud and hybrid
environments.
Document technical designs workflows and best practices for stakeholders.