Senior Python AI Engineer

Role Overview

Python AI Engineer with deep expertise in building and deploying AI-powered services will drive architecture, design, testing, and continuous improvement. You will work within an enterprise-grade agent studio, leveraging LLMs and AI agents to automate complex workflows across dozens of systems. This position is ideal for a Senior-level engineer who thrives on end-to-end ownership and collaboration between ML research and production engineering.

Key Responsibilities

* Drive the full product lifecycle from system architecture and design through deployment, monitoring, and iterative enhancement of AI agents.
* Write clean, testable, production-ready Python code, conduct thorough code reviews and mentor peers.
* Design, build, and optimize APIs and microservices for model serving in a distributed environment.
* Develop and maintain middleware that integrates LLMs, vector databases, and enterprise systems, ensuring low-latency and high-throughput.
* Collaborate closely with ML engineers, data scientists, and product specialists to translate research models into scalable services.
* Optimize performance, scalability, and reliability of AI-powered services, applying best practices in containerization and CI/CD pipelines.

Why This Vacancy Stands Out

* Work with state-of-the-art AI and LLM technologies in a global, remote-first B2B SaaS setting.
* Influence core product decisions and drive innovation in integration and automation platform space.
* Enjoy full flexibility in schedule and location with a truly remote team culture.
* Benefit from a modern technical stack (Python, Docker, Kubernetes, vector DBs) and robust engineering processes.
* Opportunity for career growth into lead or architect roles through end-to-end product engagement.

About the Company

Global B2B Product Company is a leading integration and automation platform (iPaaS) serving enterprises worldwide. Their mission is to simplify complex data flows and business processes by empowering non-technical users with AI-driven agent studios and intuitive chat interfaces. The company values technical excellence, transparency, and a collaborative remote culture where every engineer has direct impact on product strategy and customer success.