Project Overview

This initiative focuses on building a next-generation platform for professional services, designed around agent-enabled and agent-driven models.

The goal is to create an “always-on, insight-rich, and value-transparent” ecosystem that continuously adapts to evolving client and market needs.

By leveraging AI-powered automation and knowledge reuse, the platform aims to:

• Scale delivery of high-quality outcomes
• Expand service reach
• Protect margins in an increasingly commoditized market

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About the Role

We are looking for a Senior Python Engineer to join a fast-moving team building a production-grade, AI-native platform.

In this role, you will focus on:

• Designing system architecture and orchestration for AI-driven services
• Building agentic pipelines and MCP servers
• Integrating LLMs with backend infrastructure
• Ensuring high performance, scalability, and reliability across systems

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Tech Stack

Languages & Frameworks

• Python 3
• FastAPI
• Celery

Storage

• PostgreSQL
• Redis
• Azure Blob Storage

Messaging & Caching

• RabbitMQ
• Azure Service Bus

Cloud & Infrastructure

• Microsoft Azure (Service Bus, Blob Storage, Key Vault)
• Docker

Tooling

• Claude Code
• Cursor
• Spec-Driven Development Framework

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Requirements:

Must-Have

• Strong ability to perform under pressure and deliver within tight timelines
• Proven experience designing scalable, highly concurrent backend systems
• Deep understanding of distributed task queues and resilient API design
• Strong Python expertise:
  • async/await
  • type annotations
  • Pydantic
• Hands-on experience with FastAPI in production environments
• Advanced experience with Celery:
  • Distributed task queues
  • Background workers
  • Worker scaling strategies (Redis / RabbitMQ)
• Solid knowledge of PostgreSQL and SQL
• Experience with Azure deployments and containerization using Docker
• Ability to optimize deployments to fully utilize available compute resources

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Nice-to-Have

• Experience with Datadog (monitoring & observability)
• Familiarity with Kubernetes
• Exposure to AI tooling integrations (backend support for AI-driven features)

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Additional Details

• Start Date: ASAP
• Assessment: HackerRank challenge
• Location: Fully remote
  • Occasional in-person team sessions (approx. once per quarter, likely in Prague)
• Working Hours:
  • Required overlap: 14:00 – 18:00 CET
  • Preferred overlap: 14:00 – 19:00 CET

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