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AI Engineer – Agentic Systems, Voice

Job not on LinkedIn

🕒 July 31

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

Where this job comes from

Posted on acto's careers page, not through a job board

First seen by Remote Rocketship July 31

Still open on acto's site. Checked 12 minutes ago.

Logo of acto

acto

11 - 50 employees

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

acto is a company that specializes in using artificial intelligence and automation to enhance sales and distribution processes, particularly in business-to-business (B2B) contexts. The company focuses on optimizing sales efforts in sectors like wholesale, logistics, and component manufacturing. By integrating data from various sources such as ERP, CRM, and other business intelligence tools, acto provides actionable insights and prioritizes sales activities based on these insights. The goal of acto is to improve operational efficiency and enhance customer engagement through targeted, data-driven strategies.

📋 Description

• Design, implement, and optimize LLM-powered agentic workflows across chat, meeting preparation, and recommendations • Build agents that interact with external APIs, databases, and environments • Advance voice-enabled agents through real-time conversation pipeline design, ASR, TTS, turn-taking, and dialogue management • Focus voice agents on low latency and reliability • Integrate retrieval, long-term memory, and state tracking into agent architectures • Collaborate with product teams to deploy agents in production and maintain their health • Design and run experiments evaluating agent performance, correctness, latency, and hallucination rates • Translate high-level product requirements into scalable, testable agentic features • Contribute across Acto's Intelligence Layer in text and voice modalities

🎯 Requirements

• Proven, hands-on experience building voice agents in production • Experience working with ASR, TTS, or real-time/streaming voice pipelines • Strong experience building with LLMs, including OpenAI, Claude, Mistral, or open-source models • Familiarity with agentic frameworks such as LangChain and LangGraph • Proficiency in Python and modern ML tooling such as Hugging Face, PyTorch, and Ray • Experience integrating tools, calling APIs, managing memory/state, or generating SQL queries • Experience with simulation-based testing and evaluation of conversational and voice agents, such as Coval or Bluejay • Ability to measure agent performance, correctness, regressions, latency, and hallucination rates at scale • Comfortable working in an iterative, fast-paced product environment • Ability to help a small team level up

🏖️ Benefits

• Flexible work schedule • Remote setup with the option to work from the Berlin office • 30 days of vacation • Wellhub membership • State-of-the-art hardware setup with a choice between Mac and Windows • Meaningful responsibilities and autonomy to make impactful decisions • Development opportunities in a flat, non-hierarchical environment • Regular team events

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