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Python engineer (Eclipse)

The Workly·Salary not specified

Primary stack

PythonFastAPICeleryPostgreSQLRedisRabbitMQAzureDockerDatabricks

Nice to have's

DatadogKubernetesAI

Job description

About the Position

We're seeking a Senior Python Engineer to join our fast-moving team building a production-grade, AI-native platform. You'll focus on the architecture and orchestration of our AI systems, building robust agentic pipelines, MCP servers, and seamlessly integrating LLMs with our backend infrastructure.

Project Info

Our next-generation platform initiative, designed to redefine professional services delivery through agent-enabled and agent-driven models. The project’s goal is to create an “always-on, insight-rich, and value-transparent” ecosystem that adapts to evolving client and market needs. By leveraging AI-powered automation and knowledge reuse, Eclipse aims to scale trusted outcomes, expand service reach, and protect margins in a rapidly commoditizing market.

Responsibilities

  • Architect and design scalable, highly concurrent backend systems
  • Develop robust agentic pipelines and MCP servers
  • Integrate LLMs with our backend infrastructure
  • Design and operate distributed task queues using Celery
  • Deploy on Azure and utilize Docker for containerization

Requirements

Must-Have

  • Demonstrates resilience and adaptability in high-pressure environments
  • Proven ability to design and architect scalable backend systems
  • Strong Python fundamentals – async/await, type annotations, Pydantic
  • Hands-on FastAPI experience building production REST services
  • Hands-on experience with Databricks (Databricks Job, Delta Lake, etc.)
  • Deep experience with Celery – designing and operating distributed task queues, background workers, and worker scaling strategies with Redis or RabbitMQ
  • Working knowledge of PostgreSQL database and SQL
  • Comfortable deploying on Azure, working with Docker, and architecting deployments to utilize all available cores inside the container

Nice-to-Have

  • Datadog for system observability
  • Kubernetes experience
  • Familiarity with AI tooling integration (serving as the backend support for AI features)

Tech Stack Highlights

  • Languages & Frameworks: Python 3, FastAPI, Celery
  • Storage: PostgreSQL, Redis, Azure Blob Storage
  • Messaging & Cache: RabbitMQ, Azure Service Bus
  • Cloud: Azure (Service Bus, Blob Storage, Key Vault)
  • Tooling: Docker, Databricks

We Offer

  • Remote work opportunities in Europe
  • Opportunity to work on cutting-edge AI-native platform initiatives

About the Company

The Workly s.r.o. is a forward-thinking company based in Prague, Czech Republic, dedicated to redefining professional services delivery through innovative technology solutions.

Address:

4D CENTER, Kodaňská 1441/46, 101 00, Praha 10.

Contact:

[email protected] | +420 775 371 991

©2023, All right reserved.

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