(Senior / Staff) AI Engineer - Agentic Systems (m / f / d)

Your Role

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.

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: Enjoy a flexible work schedule and a remote set up with the option to work from any Adesso offices around Germany or our Munich 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.

About us

At Acto, we believe that the future does not belong to the companies that have the most data, but to those that can use their potential most effectively. That's why we develop software that builds on existing ERP systems and transforms data into prioritized and AI‑supported recommendations for action. We help B2B sales teams in the logistics, wholesale and B2B consumer goods sectors to escape the data chaos and use AI to make better decisions faster, thereby increasing productivity. We started in 2021 and since then have not only been able to win well‑known medium‑sized companies as customers, but also bring well‑known investors such as 468 Capital and Cusp Capital on board.

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