UST
Website:
ussmokeless.com
Company:
https://www.linkedin.com/company/ustglobal
Industries: IT Services and IT Consulting
Job details:
Role Description
We are seeking an experienced
Senior MCP & Python Platform Engineer with strong 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 modern 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
Experience
- 6+ years of professional experience in software, data, or AI/ML engineering.
- 3+ years of direct experience building and operating production services on AWS.
Skills
AWS, AWS CloudFormation, Amazon CloudWatch
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