Python Developer

Coorpix is a Switzerland-based company that develops cutting-edge AI solutions, including production-grade voice AI platforms for legal and institutional environments.

• Design and build real-time voice agents that autonomously handle phone conversations;
• Develop low-latency streaming pipelines (STT → LLM → TTS);
• Integrate telephony systems via Azure Communication Services (ACS) (SIP, RTP, session handling);
• Implement call logic (routing, timeouts, voicemail, busy signals);
• Optimize latency, responsiveness, and overall performance;
• Build systems tailored for Swiss German dialect recognition, including phonetic matching and noisy 8kHz audio environments;
• Implement natural conversation mechanics (turn-taking, interruption handling, barge-in);
• Design scalable systems handling high concurrency (Redis, distributed architectures);
• Build observability systems (monitoring, tracing, incident metrics);
• Extend LangGraph-based orchestration and structured conversation flows;
• Ensure strict PII protection with enforced scrubbing pipelines;
• Apply security and compliance best practices for voice data;
• Collaborate closely with AI and infrastructure teams to deliver end-to-end systems.

• Strong engineering skills in Python, with experience in FastAPI, asyncio, and real-time systems;
• Proven experience with low-latency architectures and streaming pipelines;
• Hands-on experience with STT/TTS providers (Azure Speech, ElevenLabs, or similar);
• Familiarity with telephony systems (ACS, SIP, RTP, WebRTC);
• Experience building distributed, scalable systems;
• Background in LLM-based systems, orchestration (LangGraph/LangChain), and structured prompts;
• Solid understanding of performance and reliability engineering;
• Ability to own systems end-to-end;
• Fluent in English;
• Nice to have: Knowledge of audio processing (sample rates, codecs, telephony constraints).

• Hybrid work from Belgrade office two times per week (Located at Belgrade Waterfront);
• Work on production AI systems deployed in real-world environments;
• Direct impact on the development of next-generation voice AI systems;
• High ownership and technical responsibility;
• Culture that values autonomy, clarity and impact;
• Flexible workload (60–100%) and hybrid work setup (Switzerland / EU);
• Long-term growth opportunities as the AI platform evolves and scales.