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, working across applied AI, real-time audio, and distributed systems to solve practical customer problems.
What You'll Do
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Build reliable voice AI systems, including retrieval-augmented generation, dynamic model routing, and testing transcription services before production rollout.
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Design and operate a distributed call scheduler that manages concurrency, race conditions, time zones, retries, and provider limits.
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Extend agents across voice, messaging, and email, with shared memory and state for asynchronous and real-time conversations.
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Develop memory and reasoning systems that preserve context throughout customer workflows.
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Build AI-assisted tools for configuring agents, debugging issues, and connecting to business systems such as CRMs, calendars, and email.
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Improve tracing and resilience so failures across calls, workers, and providers can be diagnosed and handled effectively.
What We're Looking For
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Production experience building and owning distributed product systems, and a track record of shipping projects end to end.
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Experience with Python, FastAPI, or TypeScript in production, plus PostgreSQL, Redis, or comparable data stores.
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Background in real-time systems, audio processing, or voice infrastructure, and experience with concurrency, load balancing, or fault tolerance.
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Experience shipping LLM, AI model, or agentic systems, and working with AWS, GCP, or Azure.
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Familiarity with workflow orchestration or message queues, observability tools, and full-stack development is useful.
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Technologies include LiveKit, Bun, Node.js, Fastify, React, Temporal, and OpenTelemetry.
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Strong software fundamentals, independent problem-solving, and a team-oriented focus on customer and business outcomes.
Compensation & Benefits
€85,000 to €160,000 annually, plus equity. Visa sponsorship is available. Relocation support is available.
Location
On-site in Berlin, Germany.
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