Senior Python Engineer
Senior Python Engineer (LLM Infrastructure / MCP Integration)
Location: Remote (Ukraine or nearby regions)
Team: Voice AI Monetization
About the Role:
This project is building the next generation of conversational and agentic voice experiences across automotive, restaurants, and connected devices.
We’re looking for a Senior Python Engineer with strong backend expertise and practical experience in modern AI application infrastructure to help design, build, and operate our MCP (Model Context Protocol) integration layer - connecting real-world commerce experiences with large language models (LLMs).
You’ll collaborate closely with our Voice Commerce and LLM engineering teams to build secure, observable, and scalable systems powering multimodal experiences used by millions of drivers and consumers worldwide.
Your responsibilities will include:
Designing and implementing scalable Python-based MCP servers and supporting microservices.
Developing secure, resilient backend APIs and services (FastAPI, Pydantic, asyncio).
Ensuring compliance with secure backend engineering principles — schema-driven contracts, input validation, rate limiting, secrets management, and protection against prompt-injection or tool abuse.
Implementing observability and reliability frameworks (OpenTelemetry metrics, traces, structured logging, retries, health checks, and idempotent workflows).
Collaborating with frontend engineers to deliver the TypeScript/React iframe component that communicates with the OpenAI client.
Partnering with applied AI engineers to integrate evaluation, guardrails, and safe tool-use patterns for LLMs in production.
Contributing to packaging, dependency management, CI/CD pipelines, and internal developer tooling to accelerate MCP and agentic system deployment.
What we expect from you:
5+ years of professional experience in backend software development.
Expert-level knowledge of modern Python (3.10+), asynchronous programming (asyncio), and frameworks like FastAPI/Pydantic.
Hands-on experience architecting and operating MCP servers or similar model-context orchestration systems.
Strong understanding of secure backend engineering and defense-in-depth principles.
Experience implementing observability (OpenTelemetry, metrics, traces, structured logs).
Working knowledge of TypeScript/React (or Web Components) for integrating LLM-connected frontends.
Familiarity with LLM-based systems, including evaluation, safety, and reliability best practices.
Will be a plus:
Experience with the OpenAI Apps SDK or MCP-based integration workflows.
Previous experience building or integrating agentic or multimodal systems.
Contributions to open-source AI tools, frameworks, or security libraries.
We offer:
The opportunity to redefine how people and machines interact — creating natural, intelligent voice experiences that connect users with real-world services.
Work in a small, senior, and fast-moving team shaping the foundation of agentic voice commerce and multimodal AI systems.
Competitive compensation and growth opportunities in a cutting-edge AI environment.
Fully remote collaboration with global teams and flexible working hours.