Senior Software Engineer, Voice AI / Backend

Clera; Berlin; Vor Ort; EUR 85.000 - 160.000; Vollzeit

Benefits dieser Stelle

Equity

Visa sponsorship

Relocation support

Zusammenfassung

Clera in Berlin is seeking a production-focused engineer to own voice AI projects end-to-end—from product decisions and system design to production code across applied AI, real-time audio, and distributed systems. You will build reliable voice AI systems and extended agents across channels, maintaining context through interactions and workflows.

You will work with Python, FastAPI, and TypeScript, plus PostgreSQL/Redis, in a cloud-enabled, scalable environment, with a strong emphasis on

Qualifikationen

• Production experience building distributed, customer-facing systems.
• Experience with Python, FastAPI or TypeScript in production.
• Experience with real-time audio or voice infrastructure.

Aufgaben

• Build reliable voice AI systems with retrieval-augmented generation and testing transcription.
• Design and operate distributed call scheduling systems with concurrency and time zones.
• Extend agents across voice and other channels with shared context.
• Develop memory and reasoning to retain context across workflows.
• Create AI tools to configure agents and integrate with CRM, calendars, and email.
• Improve tracing and observability for production issues.

Kenntnisse

Distributed systems

Python

FastAPI

TypeScript

Real-time systems

AWS/GCP/Azure

PostgreSQL

Redis

Audio processing

Tools

LiveKit

Temporal

Message queues

React

OpenTelemetry

Node.js

Fastify

Jobbeschreibung

About the Role

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

What You'll Do

• Build reliable voice AI systems, including retrieval-augmented generation, dynamic language model routing, and testing new transcription systems before release.

• Design and operate distributed call scheduling systems that handle concurrency, time zones, retries, provider limits, and failure recovery.

• Extend agents across voice and other communication channels, maintaining shared context between real-time and asynchronous interactions.

• Develop memory and reasoning systems that help agents retain context across customer workflows.

• Build AI tools that configure agents, diagnose issues, and connect with customer relationship management systems, calendars, and email.

• Improve tracing and observability so production issues can be diagnosed and resolved effectively.

What We're Looking For

• Production experience building and owning distributed systems, with strong software fundamentals and a track record of delivering projects end to end.

• Experience as a product engineer building customer-facing systems, rather than working exclusively in machine learning or data roles.

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

• Experience with real-time systems, audio processing, or voice infrastructure, as well as distributed systems challenges such as concurrency and fault tolerance.

• Experience with language models, AI agents, or similar systems in production, and cloud infrastructure such as AWS, GCP, or Azure.

• Familiarity with tools such as LiveKit, Temporal, message queues, React, and OpenTelemetry is useful. The broader stack includes Bun, Node.js, Fastify, and observability platforms.

• Independent, action-oriented approach, sound judgment about code quality and reliability, and a focus on team and business outcomes.

Compensation & Benefits

Annual compensation is €85,000 to €160,000, plus equity. Visa sponsorship is available.

Location

On-site in Berlin, Germany. Relocation support is available.