We are seeking a Senior Agentic AI Architect who has already designed and deployed AI agent systems in production environments.
This role focuses on building autonomous or semi-autonomous AI agents that can reason, plan, use tools, and interact safely with external systems.
The successful candidate will design agent reasoning loops, memory systems, tool integrations, and escalation paths while ensuring these systems operate reliably in real operational environments.
This role requires someone who understands not only how to build agents, but also the practical pitfalls of operating them in production.
Core Responsibilities
Agent Architecture :
Design and implement production AI agents capable of executing complex workflows. Responsibilities include :
Designing reasoning loops for planning, tool selection, and self-correction
Building multi-agent orchestration systems
Implementing memory systems including short-term context and vector memory
Defining escalation paths to human operators when needed
Implementing guardrails to ensure protected and predictable agent behaviour
LLM And Agent Systems Engineering
Build robust LLM-driven systems that integrate with business workflows. Responsibilities include :
Building production RAG pipelines using vector databases
Implementing structured outputs and function calling
Designing context management strategies for complex tasks
Integrating agents with external APIs and business systems
Applying prompt and context engineering techniques to improve reliability
Production Deployment
Ensure that agent systems operate safely and reliably in production. Responsibilities include :
Deploying agents used by real users and operational teams
Implementing monitoring and logging for agent behaviour
Managing token usage and LLM cost efficiency
Diagnosing hallucinations, tool failures, and workflow breakdowns
Implementing fallback and escalation mechanisms when agents encounter uncertainty
Production Experience (Critic
📌 Senior Agentic AI Architect (Kolkata)
🏢 Moreyeahs.
📍 Kolkata
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