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

acto GmbH

Berlin

Hybrid

EUR 90,000 - 130,000

Full time

8 days ago

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Benefits offered by this job

Remote option
Berlin Office access
Flexible schedule
30 days vacation
Wellhub membership
Ownership culture
State-of-the-art hardware

Job summary

Acto is expanding its Agents team in Berlin, seeking an AI Engineer (m/f/d) to build next-gen agentic AI systems powered by LLMs. You will design robust agentic workflows, develop tool-using agents, and push voice-enabled agents forward with real-time pipelines (ASR/TTS) while ensuring memory integration and scalable production deployment.

The role requires hands-on experience with voice agents, Python, and modern ML tooling, and offers a hybrid setup with an option to work from our Berlin

Qualifications

  • Voice AI: Proven, hands-on experience building voice agents in production.
  • LLMs: Strong experience building with LLMs (OpenAI, Claude, Mistral, open-source).
  • Agentic frameworks: Familiarity with LangChain, LangGraph.
  • Programming: Python and modern ML tooling.
  • Tool integration: Experience with APIs, memory/state, SQL generation.
  • Simulation-based testing: Experience with Coval, Bluejay or similar.
  • Startup mindset: Iterative, fast-paced product environment.

Responsibilities

  • Design and optimize agentic workflows using LLMs across chat, meeting prep, and recommendations.
  • Build tool-using agents that interact with external APIs, databases, and environments.
  • Advance voice agents with real-time conversation pipelines (ASR, TTS) and low latency.
  • Integrate memory, retrieval, and state tracking into agent architectures.
  • Deploy agents in production with product teams and monitor health.
  • Design and run experiments to evaluate performance, latency, and hallucinations.
  • Translate product needs into scalable, testable features.

Skills

Voice AI
LLM Expertise
Agentic frameworks
Python
Tool integration
Simulation testing
Startup mindset

Tools

LangChain
LangGraph
Hugging Face
PyTorch
Ray

Job description

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.
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