Lead the implementation of GenAI orchestration frameworks such as LangChain and LangGraph, and apply the Model Context Protocol (MCP) to connect LLMs with real-time data and tools.
Build and maintain self-healing CI/CD pipelines that automate model evaluation (hallucination checks, drift detection) and deployment across hybrid cloud environments.
Collaborate with UX teams to integrate GenAI outputs (streaming text, multimodal assets) into React/Next.js applications, ensuring sub-second latency and smooth state management.
Respond to and resolve production issues in line with SLA commitments.
Troubleshoot user issues and handle service requests efficiently.
Monitor data pipelines, identify failures, and implement corrective actions.
Track and improve model performance, applying necessary corrections.
Refresh dashboards and ensure accuracy of data presented to stakeholders.
Job Requirement
Strong expertise in GenAI orchestration frameworks (LangChain, LangGraph) and MCP.
Hands-on experience with CI/CD automation, MLOps practices, and hybrid cloud deployments.
Proficiency in frontend integration with React/Next.js.
Solid background in production support, incident resolution, and data pipeline monitoring.
Ability to work cross-functionally with engineering and UX teams to deliver reliable, high-performance solutions.
"Marketing Analytics. Apply analytics to enhance the impact of your marketing spend ; Customer Analytics. Analyze and map customer DNA for meaningful engagement.