About the Role
Join a small, fast-moving engineering team building voice AI agents for customer-facing workflows. You will own projects end-to-end across applied AI, real-time audio, and distributed systems, helping turn complex customer needs into reliable production software.
What You'll Do
- Build reliable voice AI systems, including retrieval-augmented generation, dynamic model routing, and evaluation of transcription systems.
- Design and operate a distributed call scheduler that manages concurrency, race conditions, time zones, retries, and provider limits.
- Extend agents across voice, messaging, and email, maintaining shared memory and state across real-time and asynchronous conversations.
- Develop memory and reasoning systems that preserve context through customer workflows.
- Build AI-assisted tools for configuring agents, diagnosing issues, and connecting to business systems such as CRMs, calendars, and email.
- Improve observability and resilience by making failures traceable and ensuring graceful recovery when calls, workers, or providers fail.
What We're Looking For
- Production experience building and owning distributed systems, with a track record of shipping product software and delivering projects end-to-end.
- Strong software fundamentals and experience with Python, FastAPI, or TypeScript in production systems.
- Experience with real-time systems, audio processing, or voice infrastructure, and with production LLM, AI model, or agentic systems.
- Experience with PostgreSQL, Redis, or similar data stores, plus cloud infrastructure on AWS, GCP, or Azure.
- Ability to design or debug systems involving concurrency, load balancing, and fault tolerance.
- Familiarity with tools such as LiveKit, Temporal, message queues, workflow orchestration, React, and observability platforms is valuable.
- Independent, action-oriented approach, sound judgment about code quality and reliability, and a focus on team and customer outcomes.
Compensation & Benefits
€85,000 to €160,000 annually, plus equity. Visa sponsorship is available, and relocation support is offered.
Location
On-site in Berlin, Germany.
