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Senior Python Engineer with AI

Senior Backend AI Engineer to join an initiative transforming professional services delivery through agent-enabled and agent-driven models. You’ll work on a modern, scalable stack with a strong emphasis on architecture, AI orchestration, and performance.

This project aims to create an "always-on, insight-rich, and value-transparent" ecosystem that adapts to evolving client and market needs. By leveraging AI-powered automation, the platform will scale trusted outcomes, expand service reach, and protect margins in a rapidly evolving market.

About the Role

You’ll be a key contributor to a fast-moving team, building a production‑grade, AI-native platform. Your mission will involve designing and orchestrating AI systems, constructing robust agentic pipelines, and seamlessly integrating LLMs with our backend infrastructure.

  • Observability & AI Tooling: Datadog, AI Tooling Integration

What You’ll Do

  • Design and architect scalable, highly concurrent backend systems and resilient API services.
  • Develop and optimize distributed task queues with Celery, managing background workers and scaling strategies.
  • Integrate and orchestrate AI systems and LLMs into the core platform, building robust agentic pipelines.
  • Implement production REST services using FastAPI, emphasizing async/await and type annotations.
  • Ensure high performance and reliability, utilizing PostgreSQL and optimizing data interactions.
  • Deploy and manage containerized applications in Azure using Docker, optimizing resource utilization.

Requirements

  • Minimum 5+ years of experience in backend development.
  • Proven ability to design and architect scalable, highly concurrent systems.
  • Deep expertise in Python fundamentals, including async/await, type annotations, and Pydantic.
  • Hands‑on experience with FastAPI for building production‑grade REST services.
  • Extensive experience with Celery, including the design and operation of distributed task queues.
  • Solid working knowledge of PostgreSQL and SQL.
  • Comfortable deploying applications on Azure and working with Docker.

Benefits

  • Large freedom and real influence
  • No unhealthy competition, team approach to meeting challenges
  • Remote‑first, flexible working culture
  • Company apartments in cool cities across Europe: work and enjoy a memorable getaway

See also

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