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clera

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Senior Software Engineer, Voice AI / Backend

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Summary

Senior engineer building voice AI agents for customer-facing workflows end to end — from LLM/agent design and real-time audio handling to distributed call scheduling systems. Core stack: Python/FastAPI, TypeScript, PostgreSQL, Redis, Temporal, LiveKit, React, and major cloud platforms.

About the Role

Join a small engineering team building voice AI agents for customer-facing workflows. You will own projects end to end, from technical design through production, across applied AI, real-time audio, and distributed systems.

What You'll Do

  • Build reliable voice AI systems, including retrieval, dynamic model routing, and testing speech transcription systems before production rollout.

  • Design and operate distributed call scheduling systems that handle concurrent workloads, time zones, retries, race conditions, and provider limits.

  • Extend agents across voice, messaging, and email, maintaining shared context between real-time and asynchronous interactions.

  • Develop memory and reasoning systems that preserve context across customer workflows.

  • Build tools that help configure agents, debug issues, and connect to CRM, calendar, and email systems.

  • Improve tracing and resilience so teams can identify call failures and respond to issues with workers or providers.

What We're Looking For

  • At least 2 years of experience building and owning production software, including distributed systems and end-to-end product delivery.

  • Production experience with Python, FastAPI, or TypeScript, plus PostgreSQL, Redis, or similar data stores.

  • Experience with real-time systems, audio processing, or voice infrastructure, and with LLMs, AI models, or agentic systems in production.

  • Knowledge of distributed systems concepts such as race conditions, load balancing, and fault tolerance, plus experience with AWS, GCP, or Azure.

  • Familiarity with workflow orchestration or messaging tools such as Temporal, and observability tools such as OpenTelemetry or Honeycomb.

  • Full-stack experience with tools such as React is useful. Strong software fundamentals, independent problem-solving, and a focus on customer and business outcomes are important.

  • Technologies include Python, FastAPI, LiveKit, TypeScript, Bun, Node.js, Fastify, React, PostgreSQL, Redis, Temporal, and major cloud platforms.

Compensation & Benefits

Compensation is €85,000 to €160,000 annually, plus equity. Visa sponsorship is available.

Location

On-site in Berlin, Germany.

Skills

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