Product Engineer

4 days ago

Berlin, GermanyMid Level

Responsibilities

Build an AI assistant for configuring agents, investigating issues, connecting external systems, and surfacing information through natural language.
Develop and optimize voice agents for speed, reliability, and quality.
Extend agents across calls, messaging, and email with shared memory and state.
Build memory systems that support reasoning across customer workflows.
Improve observability and tracing for diagnosing unsuccessful interactions.
Enable agents to select the most suitable communication channel for each interaction.

At least 3 years of professional software engineering experience with production frontend and backend development.
Experience building and owning distributed systems, asynchronous or event-driven workflows, and complex state management in production.
Production backend experience with Python, FastAPI, or TypeScript and frontend experience with React or TanStack.
Experience with real-time audio systems or voice infrastructure and production LLM, AI agent, or agentic systems.
Experience with PostgreSQL, Redis, or similar data stores and cloud infrastructure such as AWS, GCP, or Azure.
Familiarity with workflow orchestration tools such as Temporal, communication integrations, and observability tools such as OpenTelemetry.
Strong software fundamentals, product sense, and focus on customer and business outcomes.