AI Engineer – Agentic Systems (Voice) (m/f/d)

DUDE CHEM; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Remote-friendly

Berlin office access

Hardware provided

Zusammenfassung

Acto is growing its Agents team and is seeking an experienced AI Engineer (m/f/d) to build the next generation of agentic AI systems powered by LLMs. You will work across our full agentic surface—chat, meeting preparation, recommendations, and voice—shaping design, tooling, and production reliability.

You will design workflows, build tool-using agents, advance voice capabilities, integrate memory and state, deploy in production, run experiments, and translate product needs into scalable

Qualifikationen

• Voice AI: Proven hands-on experience building voice agents in production with ASR/TTS pipelines.
• LLMs: Strong experience with OpenAI/Claude/Mistral/open-source models.
• Agentic Frameworks: Familiarity with agentic frameworks (e.g. LangChain, LangGraph).
• Programming Proficiency: Proficient in Python and modern ML tooling (Hugging Face, PyTorch, Ray).
• Tool Integration: Experience with tool integration, API calls, memory/state management, or SQL generation.
• Simulation-Based Testing: Experience with simulation-based testing/evaluation of conversational and voice agents (Coval, Bluejay).
• Startup Mindset: Comfortable in iterative, fast-paced product environments and small teams.

Aufgaben

• Design, implement, and optimize agentic workflows using LLMs across chat, meetings, and recommendations.
• Create agents that interact with external APIs, databases, and environments.
• Advance voice-enabled agents with real-time transcription, TTS, turn-taking, and dialogue management.
• 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 performance, correctness, latency, and hallucinations.
• Translate high-level product needs into scalable, testable agent features.

Kenntnisse

Voice AI

LLMs

Agentic frameworks

Python

Tool integration

Simulation-based testing

Startup mindset

Tools

LangChain

LangGraph

PyTorch

Ray

Jobbeschreibung

Your Role

We are growing ourAgents teamand looking for an experiencedAI Engineer (m/f/d)to help build the next generation ofagentic AI systemspowered byLarge Language Models (LLMs). Today the team is small and tight-knit, and every hire meaningfully shapes what we build and how we build it.

You will work across our full agentic surface: chat, meeting preparation, recommendations, andvoice. 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 shipproduct-ready agentsacross bothtext and voice modalities.

Proven experience buildingvoice agentsis 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.

Your Mission

• Design & Optimize Workflows:Design, implement, and optimizeagentic workflowsusing LLMs across chat, meeting prep, and recommendations.
• Build Tool-Using Agents:Create agents that interact with external APIs, databases, and environments.
• Advance our Voice Agents:Push ourvoice-enabled agentsforward, 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.
• Integrate Memory & State:Implementretrieval, long-term memory, andstate trackinginto agent architectures.
• Deploy in Production:Collaborate with product teams todeploy agents in productionand keep them healthy.
• Evaluate & Improve:Design and runexperimentsto evaluate agent performance, correctness, latency, and hallucination rates.
• Translate Product Needs:Turn high-level product requirements into scalable, testable agentic features.

Your profile: What you need to succeed

• Voice AI (important requirement):Proven, hands-on experience buildingvoice agentsin production and working withASR,TTS, or real-time/streaming voice pipelines. Voice is a core focus of this hire, and we expect you to bring real depth here.
• LLM Expertise:Strong experience building withLLMs(e.g., OpenAI, Claude, Mistral, open-source models).
• Agentic Frameworks:Familiarity withagentic frameworks(e.g. LangChain, LangGraph).
• Programming Proficiency:Proficient inPythonand modern ML tooling (e.g., Hugging Face, PyTorch, Ray, etc.).
• Tool Integration:Experience withtool integration, calling APIs, managing memory/state, or SQL query generation.
• Simulation-Based Testing:Experience withsimulation-based testing and evaluationof conversational and voice agents (e.g.Coval,Bluejay), used to measure agent performance, correctness, and regressions at scale.
• Startup Mindset:Comfortable in an iterative, fast-paced product environment, and energized by helping a small team level up.

Why Acto?

• Development Opportunities: Steep development opportunities without entrenched hierarchies.
• Culture:We are an ambitious team that wants to achieve a lot with Acto, but we don\'t take ourselves too seriously and like to have fun together, be it working together or at regular team events.
• Flexibility:Enjoy a flexible work schedule and a remote set up with the option to work from our Berlin Office.
• Health & work-life balance:Enjoy 30 days of vacation and an attractive Wellhub membership.
• Ownership:Whether you are an intern or a full-time acto-naut, Acto instills a deep sense of ownership, where every team member is entrusted with meaningful responsibilities and the autonomy to make impactful decisions.
• Equipment:You will receive a state-of-the-art hardware setup with a choice between Mac and Windows.