Product Engineer at Clera

✨ The Stack take on this Clera job

• 🏢 Clera has 105 jobs here, 105 with visa sponsorship see all
• 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
• 💡 No salary shown. Ask Clera if it is above the minimum.

Updated 2026-11-02, from our data and official sources.

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About the role

Responsibilities:
- Own end-to-end product features for AI-powered voice agents: agent configuration, integrations, shared memory and multi-channel support (calls, messaging, email).
- Build AI assistant capabilities to configure agents, investigate issues, connect external systems, and surface information via natural language.
- Develop and optimise voice agents for speed, reliability and audio quality; extend agents to maintain shared state across channels.
- Design and implement memory and state systems enabling agents to reason across customer workflows.
- Improve observability, tracing and tooling to detect, explain and resolve failed interactions.
- Implement channel-selection logic so agents choose the most suitable communication medium per interaction.
- Collaborate with product, ML and SRE teams; participate in code reviews, deployments and incidents.

Requirements:
- 3+ years professional software engineering with production frontend and backend experience.
- Backend experience in Python/FastAPI or TypeScript and frontend experience with React/TanStack.
- Proven experience with distributed, asynchronous or event-driven systems and complex state management in production.
- Familiarity with real-time audio/voice infrastructure and production use of LLMs or AI/agent systems.
- Experience with PostgreSQL, Redis and cloud platforms (AWS/GCP/Azure); familiarity with workflow tooling (e.g., Temporal) and observability (OpenTelemetry).
- Strong software fundamentals, product sense and a bias for delivering customer-facing outcomes.

Responsibilities

Build and own end-to-end product features for AI-powered voice agents, including agent configuration, integrations, shared memory, and support for calls, messaging, and email. Improve agent performance, observability, and channel selection to make customer interactions more reliable and effective.

Requirements

Requires at least three years of professional software engineering experience, including production frontend and backend development and ownership of distributed systems or asynchronous workflows. Candidates should have production experience with relevant backend and frontend technologies, voice or real-time audio systems, AI agents, data stores, and cloud infrastructure, along with strong software fundamentals and product sense.

Key skills

• Python — in 1159 other listings on The Stack
• FastAPI — in 89 other listings on The Stack
• TypeScript — in 457 other listings on The Stack
• React — in 273 other listings on The Stack
• TanStack — in 2 other listings on The Stack
• Distributed Systems — in 327 other listings on The Stack
• Asynchronous Workflows — in 3 other listings on The Stack
• Event-Driven Workflows — not in any other listing on The Stack
• Complex State Management
• Real-Time Audio Systems
• Voice Infrastructure
• Large Language Models
• AI Agents
• PostgreSQL
• Redis
• Cloud Infrastructure

On The Stack (as of 2026-11-02)

• Clera has 104 other listings on The Stack, 104 of them marked as offering visa sponsorship.
• 165 visa-sponsored jobs in Germany on The Stack, posted in the last 60 days.

Frequently asked questions about Clera

Is this Product Engineer role still open?

It was posted on 2026-11-01 and is listed as active on The Stack. Confirm on Clera's application page before applying.

Does Clera offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Clera's site.

Where is this role located?

The listing gives the location as Berlin, Germany. It is marked on-site.

What skills does this role ask for?

The listing names: Python, FastAPI, TypeScript, React, TanStack, Distributed Systems, Asynchronous Workflows, Event-Driven Workflows, Complex State Management, Real-Time Audio Systems, Voice Infrastructure, Large Language Models, AI Agents, PostgreSQL, Redis, Cloud Infrastructure.