Senior Software Engineer, Voice AI / Backend

Clera

Berlin, Germany

On-site

Who this role is best for

Backend engineers with experience in distributed systems and AI will find this role in voice AI development at a Berlin-based company. The job emphasizes ownership of end-to-end projects and requires on-site presence in a collaborative team environment.

Best fit for

Experienced backend engineers focused on AI and distributed systems in Berlin-based teams
— “Join a small engineering team building voice AI agents for customer-facing business workflows.”
Candidates with production experience in Python, FastAPI, or TypeScript and cloud platforms like AWS or GCP
— “Production experience with Python, FastAPI, or TypeScript, and data stores such as PostgreSQL or Redis.”
Individuals who thrive in ownership roles, delivering projects from concept to production
— “You will own projects from product decisions through architecture and production delivery.”

Things to consider

On-site presence in Berlin is required despite potential flexibility in work arrangement
— “On-site in Berlin, Germany.”
The role demands familiarity with AI and agentic systems, not just general software development
— “Experience with production AI and agentic systems.”

How to stand out

Highlight experience with real-time systems and AI agent development in your resume and interviews
— “Build reliable voice AI systems, including retrieval-augmented generation, dynamic model routing...”
Showcase your background in designing distributed systems with resilience and observability
— “Improve observability and resilience so issues can be traced to their root causes.”
Emphasize your ability to maintain shared context across real-time and asynchronous workflows
— “Extend agents across voice and other communication channels, maintaining shared context...”

Pace · SteadyCollaboration · MediumAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

voice AI systems
distributed call scheduling systems
memory and reasoning capabilities
AI-powered tools
observability and resilience

Typical background

software engineeringAI developmentbackend development

Skills & requirements

Required

PythonFastapiTypeScriptPostgreSQLRedisDistributed SystemsReal-time SystemsAudio ProcessingVoice InfrastructureCloud InfrastructureWorkflow OrchestrationMessage QueuesObservability Tools

Preferred

LivekitBunNode.jsFastifyReactTemporalOpentelemetry

Stack & domain

PythonFastapiTypeScriptPostgreSQLRedisAWSGCPAzureLivekitBunNode.jsFastifyReactTemporalOpentelemetryBias Toward ActionInterest In Business OutcomesVoice AIBackend Development

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE
Join a small engineering team building voice AI agents for customer-facing business workflows. You will own projects from product decisions through architecture and production delivery, helping make real-time AI interactions reliable and useful.
WHAT YOU'LL DO
Build reliable voice AI systems, including retrieval-augmented generation, dynamic 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 failures.
Extend agents across voice and other communication channels, maintaining shared context across real-time and asynchronous conversations.
Develop memory and reasoning capabilities that help agents maintain context through customer workflows.
Build AI-powered tools for configuring agents, troubleshooting issues, and connecting to business systems.
Improve observability and resilience so issues can be traced to their root causes.
WHAT WE'RE LOOKING FOR
At least 2 years of relevant experience building and shipping product software, including owning distributed systems in production and delivering projects end to end.
Production experience with Python, FastAPI, or TypeScript, and data stores such as PostgreSQL or Redis.
Experience with distributed systems, real-time systems, audio processing, voice infrastructure, or production AI and agentic systems.
Familiarity with cloud infrastructure such as AWS, GCP, or Azure.
Experience with workflow orchestration or message queues, frontend development, and observability tools is useful.
Strong software fundamentals, a bias toward action, and an interest in business outcomes and reliable AI products.
Relevant technologies include LiveKit, Bun, Node.js, Fastify, React, Temporal, and OpenTelemetry.
COMPENSATION & BENEFITS
Base salary is €85,000 to €160,000 annually, plus equity. Visa sponsorship is available.
LOCATION
On-site in Berlin, Germany.

Source: Clera careers (Ashby)