Role description

We are seeking an experienced Senior MCP & Python Platform Engineer with solid expertise in MCP Server Management, MCP Observability, Python, and AWS to design, build, deploy, and operate production-grade AI services and platform components. The ideal candidate will have experience working with Model Context Protocol (MCP) implementations, cloud-native architectures on AWS, AI application integration patterns, and up-to-date software engineering practices.

Key Responsibilities
Design, develop, deploy, and maintain scalable platform services using Python.
Manage and operate MCP Server Management capabilities for AI-powered applications and tool integrations.
Implement and enhance MCP Observability practices, including monitoring, logging, tracing, and operational visibility for MCP-based services.
Build and operate production services on AWS, leveraging cloud-native services and best practices.
Design and integrate APIs and services that expose data, tools, and AI capabilities to client applications.
Develop and support LLM-based application workflows,



including retrieval-augmented generation (RAG), prompt orchestration, and tool integration patterns.
Build and maintain containerized workloads using Docker.
Create and support CI/CD pipelines using GitHub Actions, Jenkins, or similar tooling.
Implement and manage infrastructure-as-code solutions using AWS CDK, Terraform, or CloudFormation.
Collaborate with cross-functional teams to deliver reliable, secure, and scalable platform capabilities.
Quickly understand existing architectures and codebases, contribute independently, and drive continuous improvements.
Support AI platform governance, evaluation, compliance, and operational best practices.
Contribute to the design and optimization of search, retrieval, and AI service integration capabilities where required.

Required Skills

Proficient
MCP Server Management
MCP Observability
Python

Intermediate
AWS

Experience
-

📌 Ai Platform Engineer Kolkata
🏢 UST
📍 Kolkata