About The Position
We are growing our Agents team and looking for an experienced AI Engineer (m/f/d) to help build the next generation of agentic AI systems powered by Large Language Models (LLMs). This is a hands-on role at the intersection of reasoning, tool-use, and memory, designing intelligent agents that operate in complex environments, interact with APIs and structured data, and drive real-world outcomes. It goes well beyond prompt engineering: you will build robust decision pipelines and ship product-ready agents across both text and voice modalities. Proven experience building voice agents is an important requirement for this role. Voice is one of the most exciting frontiers of our product, and we want someone who has done it to help the whole team excel there. That said, this is not a voice-only role: you will contribute across the Intelligence Layer, and your voice background will be a force multiplier for everything we build together.
Requirements
- Proven, hands-on experience building voice agents in production and working with ASR, TTS, or real-time/streaming voice pipelines.
- Strong experience building with LLMs (e.g., OpenAI, Claude, Mistral, open-source models).
- Familiarity with agentic frameworks (e.g. LangChain, LangGraph).
- Proficient in Python and modern ML tooling (e.g., Hugging Face, PyTorch, Ray, etc.).
- Experience with tool integration, calling APIs, managing memory/state, or SQL query generation.
- Experience with simulation-based testing and evaluation of conversational and voice agents (e.g. Coval, Bluejay), used to measure agent performance, correctness, and regressions at scale.
- Comfortable in an iterative, fast-paced product environment, and energized by helping a small team level up.
Responsibilities
- Design, implement, and optimize agentic workflows using LLMs across chat, meeting prep, and recommendations.
- Create agents that interact with external APIs, databases, and environments.
- Push our voice-enabled agents forward, including pipeline design for real time conversation, transcription (ASR), speech synthesis (TTS), turn-taking, and dialogue management, with a focus on low latency and reliability.
- Implement retrieval, long-term memory, and state tracking into agent architectures.
- Collaborate with product teams to deploy agents in production and keep them healthy.
- Design and run experiments to evaluate agent performance, correctness, latency, and hallucination rates.
- Turn high-level product requirements into scalable, testable agentic features.
Benefits
- Flexible work schedule
- Remote set up with the option to work from our Berlin Office
- 30 days of vacation
- Attractive Wellhub membership
- State-of-the-art hardware setup with a choice between Mac and Windows
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
