Senior Python Engineer (LLM Infrastructure/MCP Integration)

AI overview

Contribute to an AI-powered voice commerce project by designing scalable Python microservices, integrating large language models with real-world applications, and collaborating with top-tier engineers

Design and implement scalable, Python-based MCP servers and supporting microservices
Develop secure, resilient backend APIs and services (FastAPI, Pydantic, asyncio)
Ensure compliance with secure Back-end engineering principles, including schema-driven contracts, input validation, rate limiting, secrets management, egress controls, and prompt-injection protection
Implement observability and reliability frameworks (OpenTelemetry metrics, traces, structured logging, retries, health checks, and idempotent workflows)
Collaborate with Front-end engineers to deliver a TypeScript/React iframe component that communicates with the OpenAI client
Partner with applied AI engineers to integrate evaluation, guardrails, and safe tool use patterns for LLMs in production
Contribute to packaging, dependency management, CI/CD pipelines, and internal developer tooling to accelerate MCP and agentic system deployment

5+ years of experience with Python Back-end development
Proven experience building scalable microservices
Hands-on experience with MCP (Model Context Protocol)
Proficiency with FastAPI, Pydantic, and asyncio
Strong understanding of secure Back-end engineering principles
Experience with observability frameworks (OpenTelemetry, structured logging)
Familiarity with Front-end integration (TypeScript/React)
Experience with LLM integration and AI application infrastructure
Upper-Intermediate level of English or higher