AI/ML Engineer

QMill; Deutschland; Vor Ort; EUR 120.000 - 170.000; Vollzeit

Zusammenfassung

QMill seeks an experienced AI/ML Engineer to lead AI-powered agent systems for quantum developers. You will design AI assistants, build prompt-based tools, and integrate AI models into QMill core products and internal tools.

You will collaborate with quantum scientists and software teams to deliver reliable AI solutions, maintain performance, and drive adoption across internal and external users. A strong interest in quantum computing is valued.

Qualifikationen

• 5+ years of experience in AI/ML engineering or NLP/LLM systems development.
• Proficient in Python and modern ML workflows/libraries.
• Hands-on experience with LLM-powered tools, AI agents or agentic frameworks.
• Understanding of prompt pipelines, RAG systems, and multi-agent workflows (optional).
• Experience with backend integration, APIs, cloud deployments, and secure model inference.
• ML ops best practices (model versioning, reproducibility, experiment tracking).
• Strong collaboration with engineering and product teams.
• Interest in real-world tooling for technical users and curiosity about quantum computing.

Aufgaben

• Design and build AI systems, assistants, and agents to support quantum software developers and researchers.
• Develop prompt-based tools, retrieval-augmented generation (RAG) systems, and multi-agent LLM workflows.
• Collaborate with quantum scientists and SW team to productize AI models and agents.
• Ensure performance, reliability, and reproducibility of AI models in sensitive environments.
• Productize and document AI model features for broad adoption.
• Integrate and deploy AI models via containerized environments and DevOps pipelines.
• Monitor, evaluate, and improve model accuracy, latency, and robustness.

Kenntnisse

AI/ML engineering

NLP/LLM systems

Python

Ausbildung

Master's degree in CS/Physics/Math

PhD (a plus)

Tools

LLM APIs

Open-source models

Jobbeschreibung

AI/ML Engineer

Are you interested in quantum computing and quantum algorithms? Would you like to be part of a team unlocking the quantum advantage? Do you want to change the world?

About this position

QMill is developing new quantum algorithms and software solutions that could solve specific problems better than any existing classical solution. The problems can relate to optimization, simulation and machine learning, for example. Our first product, QMill Circuit Compression, was launched in November. QMill is well networked nationally and internationally and actively cooperates with the key players in the field. Get to know us further by visiting qmill.com.

We are seeking an experienced AI/ML Engineer to lead the development of AI-powered agent systems and assistant tools that support quantum developers in their daily work — from code generation and circuit debugging to algorithm suggestion and research summarization. You’ll build AI systems that integrate with our internal workflows, collaborate with quantum engineers to understand pain points, and help define and deliver commercial services that enhance the productivity of quantum teams worldwide. This is a hybrid R&D + product engineering role, with high visibility and direct user impact. While a background in quantum computing is not mandatory, we seek individuals who possess a genuine interest in the potential of quantum computing and are eager to learn more about this groundbreaking field.

What will you do

• Design and build AI systems, assistants, and agents to support quantum software developers and researchers using LLM APIs or open-source models.
• Develop prompt-based tools, retrieval-augmented generation (RAG) systems, and multi-agent LLM workflows.
• Collaborate with quantum scientists and SW development team to productize AI models and agents in QMill core products and internal development tools and environments.
• Ensure performance, reliability, and reproducibility of AI models and agents in sensitive environments.
• Productize and document AI model and agent features for wide adoption of internal and external users.
• Integrate and deploy AI models via containerized environments and DevOps pipelines.
• Monitor, evaluate, and continuously improve model accuracy, latency, and robustness.

We are looking for

• Minimum of 5 years of experience in AI/ML engineering or NLP/LLM systems development.
• Proficiency in Python and experience with modern ML workflows and libraries.
• Hands-on experience developing LLM-powered tools, AI agents or agentic frameworks.
• Understanding of how to build prompt pipelines, RAG systems, and optionally multi-agent workflows.
• Experience with backend integration, APIs, cloud deployments, and secure model inference.
• Understanding of ML ops best practices (e.g., model versioning, reproducibility, experiment tracking).
• Strong collaboration skills with engineering and product teams.
• Eagerness to work on real-world tooling supporting technical users.
• Understanding of quantum computing and quantum algorithms as well as familiarity with quantum computing frameworks, hybrid AI /quantum systems and DevOps tools is a plus.
• Master level degree in computer science, physics or mathematics. Ph.D. is a plus.

What you need to succeed

• Good at communicating and collaborating with people.
• Fluent in written and spoken English.
• Proactive and creative.
• Efficient and productive.
• Interest and experience in AI-assisted tools.
• Curiosity and passion to explore the potential of quantum computing.

What we are offering

• Visionary work in quantum algorithms and software.
• We offer positions at the cutting edge of technology, science and engineering of quantum algorithms. Our research agenda is dedicated to finding quantum advantage algorithms that can be used to solve specific problems or even systemic and technological challenges in society and business, so your work will be groundbreaking with a real, positive impact.
• Great career opportunities, and superb colleagues.
• Our personnel are highly educated research-oriented professionals. Collaborating in a multi-disciplinary team with top talent is a source of learning, inspiration, and fun.
• As we progress towards quantum advantage, there will be new roles and responsibilities to grow into.
• Support for your well-being. Without our personnel we cannot succeed, so we take good care of them. We aim to nurture great team spirit and leadership and enable a good work-life balance.

For further information, please contact Jouni Peltonen: [e-mail]. We look forward to hearing from you! QMill – The first to unlock quantum advantage.