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

Acto; Berlin; Hybrid; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Development opportunities

Culture

Remote option

Health & balance

Ownership

Equipment

Job summary

Acto is hiring an experienced AI Engineer to build the next generation of agentic AI systems. You will design agentic workflows, build tool-using agents, and advance voice-enabled agents across chat and voice modalities.

Join a growing team focused on production-ready solutions, memory/state integration, and experiments to improve performance, latency, and accuracy while collaborating with product teams.

Qualifications

• Voice AI: Hands-on production experience with voice agents using ASR/TTS.
• LLMs: Strong experience building with LLMs (OpenAI, Claude, or open-source).
• Agentic frameworks: Familiar with LangChain/LangGraph and similar tools.

Responsibilities

• Design and optimize agentic workflows using LLMs for chat, meetings, and recommendations.
• Build tool-using agents that call external APIs and query databases.
• Advance voice agents with real-time dialogue, low latency and robust pipelines.

Skills

Voice AI

LLM Expertise

Agentic Frameworks

Python

Tool Integration

Simulation Testing

Startup Mindset

Tools

Hugging Face

PyTorch

Ray

Job description

We are growing our Agents team and looking for an experienced AI Engineer (m/f/d) to help build the next generation of agentic AI systems powered by Large 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, and voice. 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 ship product‑ready agents across both text and voice modalities.

Proven experience building voice agents is 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 optimize agentic workflows using 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 our voice‑enabled agents forward, 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: Implement retrieval, long‑term memory, and state tracking into agent architectures.
• Deploy in Production: Collaborate with product teams to deploy agents in production and keep them healthy.
• Evaluate & Improve: Design and run experiments to 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 building voice agents in production and working with ASR, 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 with LLMs (e.g., 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 (e.g., Hugging Face, PyTorch, Ray, etc.).
• Tool Integration: Experience with tool integration, calling APIs, managing memory/state, or SQL query generation.
• Simulation-Based Testing: Experience with simulation‑based testing and evaluation of 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.

About Us

Acto is building the AI Revenue OS for industrial companies – the system that decides where revenue is created and what needs to happen next.

Today, the most important commercial decisions are still made manually: which customer deserves attention, where revenue is being lost, which opportunity is emerging and which team needs to act.

We're changing exactly that.

Acto connects ERP, CRM and behavioural data into a shared context, derives concrete decisions from it and ensures those decisions get executed in day‑to‑day operations. No reporting. No additional dashboard. A system that actively steers and orchestrates revenue.

Our customers use Acto to generate measurably more revenue from existing customer relationships – with results like +5-11% revenue growth in existing business.

We're starting in wholesale – one of the largest and least digitalised industries in the world – and building from there the central revenue control layer for the entire industrial economy.

Backed by investors including 468 Capital and Cusp Capital, we're already working with leading companies and scaling fast.