Senior Python developer

EggAI Technologies; Remote; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A cutting-edge AI company is seeking a Senior Python Developer to join a remote team focused on building scalable, async-first backend systems and modern AI architectures. Responsibilities include developing Python backends and APIs, designing data models, and contributing to AI systems. Candidates should have strong Python skills, experience with FastAPI, and solid problem-solving abilities. A Bachelor's degree in Computer Science or a related field is required. This role offers opportunities to work on innovative AI transformations in a dynamic environment.

Qualifikationen

• Strong problem-solving skills and technical rigor.
• Excellent communication skills for remote work.
• Solid understanding of software engineering principles.

Aufgaben

• Develop scalable, async-first Python backends and APIs.
• Build event-driven architectures integrated with message buses.
• Write clean, maintainable, and testable code.

Kenntnisse

Strong Python skills

Async programming

Experience with FastAPI

Familiarity with event-driven systems

Experience with PostgreSQL

Communication skills

Ausbildung

Bachelor's degree in Computer Science, Engineering or related field

Tools

FastAPI

Pydantic

Kafka

RabbitMQ

Jobbeschreibung

We are looking for a Senior Python Developer who is passionate about building scalable, async-first backend systems and modern AI architectures.

You’ll join a small, highly skilled remote team of engineers and transformation practitioners working at the forefront of enterprise AI.

You’ll design and implement backend services, event-driven architectures, and multi-agent communication layers using modern Python, Pydantic, async frameworks, and cloud-native tools.

Responsibilities

• Develop scalable, async-first Python backends and APIs (FastAPI or similar).
• Build event-driven architectures integrated with message buses (e.g. Kafka).
• Design and implement data models, APIs, background workers, and services.
• Contribute to AI orchestration systems and our multi-agent meta framework.
• Write clean, maintainable, and testable code following modern Python best practices (Pydantic, async/await, type hints).
• Work closely with AI engineers and transformation practitioners on cross-functional initiatives.
• Ensure backend systems meet enterprise-grade standards for security, performance, and reliability.

What We’re Looking For

• Strong Python skills with a focus on async programming and modern backend development.
• Experience with FastAPI, Pydantic, and related frameworks.
• Familiarity with event-driven systems (Kafka, RabbitMQ, or equivalents).
• Solid experience with PostgreSQL or similar relational databases.
• Good understanding of software engineering principles (scalability, security, testing).
• Strong problem-solving skills, technical rigor, and attention to detail.
• Excellent communication skills and ability to work independently in a remote-first environment.
• Bachelor’s degree (or equivalent) in Computer Science, Engineering, or related field.

Bonus Points

• Experience with multi-agent systems, AI orchestration, or generative AI projects.
• Knowledge of cloud-native infrastructure (Azure, AWS, or GCP).
• Contributions to open-source projects or participation in technical communities.

About EggAI

EggAI is an enterprise-focused generative AI company on a mission to help large organizations move AI solutions from prototyping into production. We specialize in building safe, reliable, and scalable AI systems that deliver real business impact.

We work at the cutting edge of AI technology, implementing agentic systems, RAG (Retrieval-Augmented Generation) architectures, and autonomous AI agents that scale from task automation to workforce automation. Our proprietary frameworks—including the EggAI Meta Framework for agentic systems and EggAI Quality Flow for governance—power AI transformations at enterprise scale.

Based in Munich, Germany, we work with enterprise clients to build AI capability, deliver production-ready systems, and establish quality-controlled AI operations.