AI Engineer

Architect multi-agent systems with branching logic, exception handling, and human-in-the-loop escalation. Own the end-to-end LLM adaptation strategy, managing GPU training runs, model merging, quantization, and production serving. Build RPA task bots as execution layers within agentic workflows, defining agent tool integrations, memory, context management, and state persistence. Implement observability and tracing frameworks to diagnose hallucinations and tool misuse while establishing CI/CD pipelines for agent and model deployments. Lead use-case discovery workshops and communicate architecture trade-offs to non-technical stakeholders.