AI Platform Engineer and Architect

TCG Digital is looking for AI Platform Engineer for Kolkata location. Justification for the vacancy: Builds and operates the agentic delivery core that all Factory pods run on MCP integrations, Agent Store, CI/CD for agents, and agent evaluation infrastructure. Cannot be agentified; someone must build and govern the system that runs all other agents. Also drives R&D evaluation of new agentic frameworks. Essential Skills: Agentic AI frameworks: LangGraph, CrewAI, AutoGen, or equivalent MCP (Model Context Protocol) server design and integration LLM API integration: Anthropic, OpenAI, Azure OpenAI CI/CD for AI systems: MLflow, Weights & Biases, or equivalent Python (advanced); Docker, Kubernetes RAG pipeline design and vector store management Prompt evaluation and guardrail implementation Experience Required: 5 to 10 Years, with a minimum of 2 years hand-on experience in Agentic-AI/LLM Production Systems. Roles & Responsibilities: Design, build, and operate the agentic core platform (MCP server integrations, agent orchestration layer, Agent Store registry). Build and maintain CI/CD pipelines for agent deployment, versioning, and rollback. Implement agent evaluation frameworks: output quality metrics, drift detection, guardrail enforcement. Integrate BAmF toolchain with SDLC tooling (Jira, SharePoint, D365) Conduct R&D evaluation of new agentic frameworks (LangGraph, CrewAI, AutoGen, etc.) and produce structured adoption recommendations. Maintain platform SLA for all active pod-agent interactions; resolve P1/P2 platform failures within SLA. Deposit platform architecture patterns and integration templates at each major release. TCG Digital is looking for AI Platform Engineer for Kolkata location. Justification for the vacancy: Builds and operates the agentic delivery core that all Factory pods run on MCP integrations, Agent Store, CI/CD for agents, and agent evaluation infrastructure. Cannot be agentified; someone must build and govern the system that runs all other agents. Also drives R&D evaluation of new agentic frameworks. Essential Skills: Agentic AI frameworks: LangGraph, CrewAI, AutoGen, or equivalent MCP (Model Context Protocol) server design and integration LLM API integration: Anthropic, OpenAI, Azure OpenAI CI/CD for AI systems: MLflow, Weights & Biases, or equivalent Python (advanced); Docker, Kubernetes RAG pipeline design and vector store management Prompt evaluation and guardrail implementation Experience Required: 5 to 10 Years, with a minimum of 2 years hand-on experience in Agentic-AI/LLM Production Systems. Roles & Responsibilities: Design, build, and operate the agentic core platform (MCP server integrations, agent orchestration layer, Agent Store registry). Build and maintain CI/CD pipelines for agent deployment, versioning, and rollback. Implement agent evaluation frameworks: output quality metrics, drift detection, guardrail enforcement. Integrate BAmF toolchain with SDLC tooling (Jira, SharePoint, D365) Conduct R&D evaluation of new agentic frameworks (LangGraph, CrewAI, AutoGen, etc.) and produce structured adoption recommendations. Maintain platform SLA for all active pod-agent interactions; resolve P1/P2 platform failures within SLA. Deposit platform architecture patterns and integration templates at each major release.