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Senior Python Engineer – Voice AI Platform
Location
Germany
Posted
18 days ago
Salary
0
Seniority
Senior
Job Description
Senior Python Engineer – Voice AI Platform
NFON AG
• You will work closely with various teams to understand customer requirements, align on solutions, and collaboratively translate them into scalable platform features. • You will develop and operate core Python microservices for our Voice AI platform (bot management, telephony middleware). • You will build low-latency, asynchronous systems for real-time speech processing and streaming audio (WebSockets, async Python). • You will integrate STT, TTS, and LLM systems and orchestrate AI workflows across multiple providers. • You will work on scalable, event-driven architectures (REST, WebSockets, gRPC). • You will take responsibility for containerization, CI/CD, and the operation of our services in the cloud.
Job Requirements
- Strong Python skills and experience with production software systems
- Experience with asynchronous Python and the development of high-performance, latency-sensitive applications
- Practical experience with microservice architectures, APIs, and distributed systems
- Good Linux knowledge for operating and architecting distributed services on Linux servers
- Experience with Docker, Kubernetes, and cloud environments
- Willingness to share responsibility for DevOps topics (CI/CD, monitoring, operations)
- Enjoyment of teamwork and agile development processes
- Proficiency in German and English, both written and spoken
Benefits
- Corporate fitness, BusinessBike and our own company boat
- Reimbursement for e-learning courses of your choice
- Regular exchange: we attend and organize internal and public (AI) events
- 30 days of vacation and the option for part-time work
- Top hardware, height-adjustable desks, and multiple monitors at each workstation
- Organic fruit/vegetables, smoothie bar, ice cream flat-rate, Thermomix and rice cooker, plus beverages (good coffee, mate, etc.)
- We support work–family balance and are recognized as 'Family-Friendly'
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