Mid-Level Python Backend Engineer – FastAPI, Async & AI

AXON-Networks

København

Hybrid

DKK 520,000 - 760,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
Pension Scheme
Flexi time
Hybrid work
Office gaming corner
Daily catered lunch

Job summary

AXON Networks is seeking a mid-level Python developer to build asynchronous services and FastAPI-based APIs. You will design modular components, integrate databases and external services, and work with agentic AI frameworks.

The role emphasizes type safety, testing, and code reviews, with Docker containerization and Git-based collaboration. The ideal candidate has strong Python asyncio skills, experience with FastAPI, and a mindset for modular design and maintainable architectures.

Qualifications

  • Strong Python and asyncio knowledge.
  • Experience with FastAPI and API design.
  • Modular design, separation of concerns, and loose coupling.
  • Database integration and connector experience.
  • Python type annotations and static type checking.
  • Unit testing with pytest.
  • Modern Python tooling such as uvicorn, ruff, mypy, or pyright.
  • Docker and microservice fundamentals.
  • Git and collaborative development workflows.

Responsibilities

  • Build asynchronous Python services and FastAPI-based APIs.
  • Design modular, loosely coupled components with clear responsibilities.
  • Integrate databases, APIs, and external services.
  • Develop agentic applications using frameworks such as OpenAI Agents SDK or Pydantic AI.
  • Write type-safe, well-tested, maintainable code.
  • Containerize services using Docker.
  • Review both human-written and AI-generated code.

Skills

Python asyncio
FastAPI
API design
Database integration
Type annotations
pytest
Docker
Git

Tools

PostgreSQL
Redis
SQLAlchemy
Async DB drivers

Job description

AXON Networks is seeking a mid-level Python developer to build asynchronous services and FastAPI-based APIs. You will design modular components, integrate databases and external services, and work with agentic AI frameworks.

The role emphasizes type safety, testing, and code reviews, with Docker containerization and Git-based collaboration. The ideal candidate has strong Python asyncio skills, experience with FastAPI, and a mindset for modular design and maintainable architectures.

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