Senior Python Engineer for Large Language Model (LLM) Infrastructure and Model Context Protocol (MCP) Integration

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).

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.