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AI Job Summary

You'll build distributed voice AI systems handling real-time audio, LLM routing, and multi-channel agent interactions for a seed-stage platform. Day-to-day work spans system design, production code, and operating infrastructure across calls, scheduling, and memory systems. You need production experience with distributed systems, strong Python or TypeScript skills, and hands-on LLM or AI systems experience. Familiarity with PostgreSQL, Redis, AWS, and workflow orchestration tools like Temporal is expected. Fully on-site in Berlin; €85,000–€160,000 annually with equity and relocation support.

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Job Description

About the Role

Join a small, high-velocity team at a seed-stage AI voice platform building the next generation of voice AI agents for B2C businesses. You'll own projects end-to-end, from core product decisions to technical architecture and production code, pushing frontier models to their limits to solve real customer problems across realtime audio, distributed systems, and applied AI.

What You'll Do

  • Build fast, reliable voice AI systems including no-infra RAG, dynamic LLM routing, and shadow-testing new transcribers before production rollout.

  • Design and operate a distributed call scheduler that handles load, race conditions, time zones, retries, and provider limits across many concurrent calls.

  • Extend agents beyond voice to multi-channel interactions (calls, WhatsApp, email) with shared memory and state across async and realtime conversations.

  • Build memory and reasoning systems so agents maintain context throughout entire customer flows.

  • Develop an AI coworker that configures agents, debugs issues, and integrates with CRMs, calendars, and email.

  • Make every bad call easy to trace to root cause, and keep the system resilient when calls, workers, or providers fail.

What We're Looking For

  • Production experience building and owning distributed systems at scale, including handling race conditions, load balancing, and fault tolerance.

  • Strong proficiency in Python (FastAPI) and/or TypeScript (Node.js, Bun, Fastify), with a track record of shipping code end-to-end.

  • Experience with real-time systems, audio processing, or voice infrastructure is a strong plus.

  • Hands-on experience with LLMs, AI models, or agentic systems in production.

  • Familiarity with PostgreSQL, Redis, or similar data stores in production environments.

  • Experience with AWS, GCP, or Azure infrastructure.

  • Familiarity with workflow orchestration tools such as Temporal, message queues, or similar.

  • Experience with observability tooling such as OpenTelemetry, Honeycomb, or equivalent.

  • React or full-stack experience is a welcome addition.

  • Bias toward action: comfortable working independently, challenging assumptions, and driving outcomes.

  • Team-first mindset with genuine care for business impact, not just the technology.

Compensation & Benefits

  • Salary: €85,000 to €160,000 annually, depending on experience.

  • Equity included.

  • Visa sponsorship available.

  • Relocation support available for candidates moving to Berlin.

Location

On-site in Berlin, Germany. This is a fully on-site role; remote work is not available. Relocation support is provided.

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  • Role Software Engineer (Voice AI / Backend)
  • Experience 3-4 years
  • Work type On-site
  • Location Germany
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Clera
AI & Machine Learning · 500+ Members · United States

Clera is an AI recruiting platform that introduces candidates directly to hiring managers at the companies they want to work for.

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Job Overview
Eligibility
Germany Right to work in Germany required.
Workplace
On-site
Job Posted:
6 days ago
Job Type
Full Time
Experience
3-4 years

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