We’re looking for an experienced (Senior/Staff) AI Engineer (m/f/d) to help build the next generation of agentic AI systems powered by Large Language Models (LLMs). You’ll be working 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. This is a hands-on role for someone who wants to go beyond prompt engineering, building robust decision pipelines and shipping product-ready agents across both text and voice modalities.
At Acto, you’ll go beyond building chatbots and design full decision-making systems across text and voice. You’ll shape how humans and AI collaborate in real-world workflows, working on the frontier of agentic AI.
(Senior/Staff) AI Engineer - Agentic Systems (m/f/d)
Berlin (Remote)
Full-time
Permanent employee
Your Role
Your Mission
- Design & Optimize Workflows: Design, implement, and optimize agentic workflows using LLMs.
- Build Tool-Using Agents: Create agents that interact with external APIs, databases, and environments.
- Develop Voice Agents: Work on voice-enabled agents, including pipeline design, transcription, and dialogue management.
- Integrate Memory & State: Implement retrieval, long-term memory, and state tracking into agent architectures.
- Deploy in Production: Collaborate with product teams to deploy agents in production.
- Evaluate & Improve: Design and run experiments to evaluate agent performance, correctness, and hallucination rates
- Translate Product Needs: Turn high-level product requirements into scalable, testable agentic features
Your profile: What you need to succeed
- LLM Expertise: Strong experience building with LLMs (e.g., OpenAI, Claude, Mistral, open-source models)
- Agentic Frameworks: Familiarity with agentic frameworks (e.g. LangChain)
- Programming Proficiency: Proficient in Python and modern ML tooling (e.g., Hugging Face, PyTorch, Ray, etc.)
- Tool Integration: Experience with tool integration, calling APIs, managing memory/state, or SQL query generation
- Voice AI: Experience working with voice agents, ASR, or TTS pipelines—or a strong willingness to learn them
- Startup Mindset: Comfortable in an iterative, fast-paced product environment
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: Berlin-based with flexible remote work. You can work from home often, with regular in-person time in our Berlin office, particularly for key meetings and collaboration.
- 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.
About us
Acto is building the AI Revenue OS for industrial companies — the system that determines where revenue is generated and what needs to happen next.
Today, the most important commercial decisions are still made manually: which customers deserve attention, where revenue is being lost, which opportunities are emerging, and which team needs to act.
We’re changing that.
Acto connects ERP, CRM, and behavioral data into a unified context, turns it into clear, actionable decisions, and ensures those decisions actually get executed in day-to-day operations.
No reporting. No additional dashboards. Just a system that actively drives and orchestrates revenue.
Our customers use Acto to unlock measurable growth from their existing customer base — with results like +5–11% revenue growth in their core business.
We’re starting in wholesale — one of the largest yet least digitized industries globally — and from there, building the central control layer for revenue across the entire industrial economy.
Backed by investors like 468 Capital and Cusp Capital, we’re already working with leading companies and scaling rapidly.