Product Engineer at Clera
At a glance
- Company
- Clera
- Location
- Berlin, Germany
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
About the role
Responsibilities:
- Own end-to-end product features for AI voice agents across frontend, backend, and infrastructure.
- Design and build agent configuration, debugging, and integrations that solve real customer problems.
- Develop and optimize voice agents for latency, reliability, and audio quality in production.
- Extend agents to support calls, messaging, and email with shared memory and consistent state across channels.
- Implement memory and state systems to enable reasoning across customer interactions and workflows.
- Improve observability and tracing to make failures and edge cases diagnosable and actionable.
- Implement channel-selection logic so agents choose the best communication medium per interaction.
- Collaborate with product, ML, and infra teams; define metrics and iterate based on customer feedback.
Requirements:
- Production experience owning full-stack features, including distributed or event-driven systems.
- Strong software fundamentals, product judgment, and a bias for measurable business impact.
- Proficiency with TypeScript and/or Python (FastAPI) and experience building UI with React or similar.
- Hands-on experience with realtime audio or voice infrastructure and deploying LLMs/agentic systems in production.
- Experience building async/event-driven systems with complex state using PostgreSQL, Redis, or similar stores.
- Familiarity with cloud platforms (AWS/GCP/Azure), workflow orchestration (e.g., Temporal), and observability tooling.
- Comfortable debugging production issues, instrumenting systems, and collaborating across teams to deliver reliable features.
Responsibilities
You will own the end-to-end development of product features for AI voice agents, including configuration, integrations, and system improvements. Responsibilities include building memory systems, optimizing agent performance, and enhancing observability to ensure high-quality customer interactions.
Requirements
The role requires production experience with frontend and backend technologies, specifically TypeScript, Python, and React. Candidates must have experience with distributed systems, AI agentic systems, and cloud infrastructure like AWS, GCP, or Azure.
Key skills
- TypeScript — in 433 other listings on The Stack
- Python — in 1081 other listings on The Stack
- FastAPI — in 85 other listings on The Stack
- React — in 252 other listings on The Stack
- Distributed systems — in 310 other listings on The Stack
- LLMs — in 75 other listings on The Stack
- AI agents — in 35 other listings on The Stack
- PostgreSQL — in 270 other listings on The Stack
- Redis
- Temporal
- AWS
- Observability
- Tracing
- Realtime audio
- Voice infrastructure
On The Stack (as of 2026-10-26)
Frequently asked questions about Clera
Is this Product Engineer role still open?
It was posted on 2026-10-24 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: TypeScript, Python, FastAPI, React, Distributed systems, LLMs, AI agents, PostgreSQL, Redis, Temporal, AWS, Observability, Tracing, Realtime audio, Voice infrastructure.