We are looking to fill this role immediately and are reviewing applications daily. Expect a fast, transparent process with quick feedback.
Why join us?
We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%.
Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.”
We offer
- Competitive annual salary starting from €45,000, based on experience and qualifications.
- Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.
- Relocation package (if applicable).
- Fixed-term contract ending in June 2026.
- Hybrid role and flexible working hours.
- Be part of a fast-scaling Series B company at the forefront of deep tech.
- Equal pay guaranteed.
- International exposure in a multicultural, cutting-edge environment.
Required Qualifications
- 2–5 years of experience across frontend and backend development.
- Proficient with React/Next.js and TypeScript on the frontend, plus Python (FastAPI/Django) on the backend.
- Experience building data-intensive dashboards, experiment tracking UIs, or internal automation tools.
- Strong understanding of API design, data modeling, and frontend–backend integration.
- Experience with SQL databases, containerized development (Docker), and CI/CD pipelines.
- Experience with AWS or cloud-based deployment environments.
- Product-driven approach — able to collaborate with researchers and PMs to translate exploratory workflows into production-quality tools.
Preferred Qualifications
- Familiarity with LLM lifecycle and MLOps tools (Hugging Face, Flyte, MLflow, LangChain).
- Experience with data visualization libraries (Plotly, Recharts, D3.js).
- Understanding of workflow orchestration or background job systems (Celery, Argo, Flyte).
- Proven ability to design user experiences that simplify complex R&D processes.
- Passion for turning automation and ML research insights into polished, user-centric internal products.
About Multiverse Computing
Founded in 2019, we are a well-funded, fast-growing deep-tech company with a team of 180+ employees worldwide. Recognized by CB Insights (2023 & 2025) as one of the Top 100 most promising AI companies globally, we are also the largest quantum software company in the EU.
Our flagship products address critical industry needs:
- CompactifAI → a groundbreaking compression tool for foundational AI models, reducing their size by up to 95% while maintaining accuracy, enabling portability across devices from cloud to mobile and beyond.
- Singularity → a quantum and quantum-inspired optimization platform used by blue-chip companies in finance, energy, and manufacturing to solve complex challenges with immediate performance gains.
You’ll be working alongside world-leading experts in quantum computing and AI, developing solutions that deliver real-world impact for global clients. We are committed to an inclusive, ethics-driven culture that values sustainability, diversity, and collaboration — a place where passionate people can grow and thrive. Come and join us!
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
BLOCK 1 — EXECUTIVE SNAPSHOT
This role is critical for operationalizing the quantum-classical software boundary within the firm's product portfolio, moving foundational research out of R\&D environments and into scalable, enterprise-grade tools. By focusing on full-stack development, this engineer directly mitigates the "last mile" problem of quantum computing access: creating intuitive, stable, and data-rich user interfaces and robust backend integration necessary for industrial adoption of complex quantum-inspired optimization and quantum AI model compression technologies. The function translates deep algorithmic performance into verifiable, production-ready user workflows, thereby enhancing both commercial readiness and the efficacy of MLOps pipelines essential for resource-efficient AI.
BLOCK 2 — INDUSTRY & ECOSYSTEM ANALYSIS
The quantum-classical integration layer represents a major scaling bottleneck in the quantum software market, as the transition from physics-centric prototypes to software-as-a-service (SaaS) models demands sophisticated engineering maturity. Multiverse Computing, leveraging its position as a key European quantum software provider specializing in optimization (Singularity) and quantum-inspired AI (CompactifAI), requires scalable full-stack infrastructure to support its expanding blue-chip client base in finance, energy, and manufacturing. The current ecosystem faces constraints in Technology Readiness Level (TRL) progression, where powerful but resource-intensive quantum/AI algorithms must be packaged into performant, cloud-native deployments. This role addresses the workforce gap by marrying standard enterprise engineering skills (React, Python, AWS) with deep-tech domain knowledge, a hybridization vital for bridging the gap between theoretical gains and measurable industrial outcomes. Specifically, enabling scalable frontends for visualizing complex quantum optimization results, and ensuring reliable data pipelines for the LLM compression tool, is pivotal for maintaining the company's competitive advantage in delivering "greener" and high-speed AI inference solutions, a niche market segment demanding robust data lifecycle management and clear experiment tracking UIs. The fixed-term nature suggests a targeted, high-priority project focused on immediate product enhancement or specific pilot deployment support.
BLOCK 3 — TECHNICAL SKILL ARCHITECTURE
The required full-stack architecture emphasizes throughput and stability through a modern component-based frontend (React/Next.js and TypeScript for type safety) integrated with a highly efficient Python backend framework (FastAPI/Django). This combination ensures that the computational intensity inherent in quantum and quantum-inspired optimization tasks, as well as the heavy data loads from large language model compression metrics, can be efficiently managed and visualized. Proficiency in SQL databases and advanced API design confirms the need for structured, scalable data modeling to support persistent state management and decoupled microservices architecture. Crucially, the requirement for Docker and CI/CD pipelines ensures the deployment environment maintains parity and is reproducible, allowing for rapid iteration in a research-intensive product environment. These containerization and automation skills are the primary enablers of system reliability and facilitate a seamless pathway from research innovation to cloud-based production tools (AWS), securing the system's operational continuity under high load.
BLOCK 4 — STRATEGIC IMPACT * Accelerates the migration of quantum-inspired algorithms from R\&D into commercial SaaS offerings.
* Establishes scalable, enterprise-grade data visibility platforms for complex model performance metrics.
* Reduces latency and cost barriers associated with current AI deployment models through efficient UI/UX design.
* Enforces engineering discipline (CI/CD, Docker) necessary for maintaining system integrity in a deep-tech environment.
* Directly supports the go-to-market strategy for quantum-AI compression technology (CompactifAI) portability.
* Enhances client trust by providing robust, transparent user interfaces for tracking complex optimization solutions.
* Contributes to the standardization of the MLOps toolchain within quantum-adjacent computational platforms.
* Improves the velocity of internal research by automating and simplifying experimental data visualization and tracking.
* Fills a crucial hybrid engineering role linking theoretical physicists/ML researchers with end-user deployment.
* Strengthens the commercial viability of quantum-inspired optimization in regulated sectors like finance and energy.
BLOCK 5 — FOOTER
Industry Tags: Quantum Software Architecture, Full-Stack Development, Quantum-Inspired Computing, MLOps Enablement, Enterprise SaaS, LLM Compression, Deep Tech Engineering, React/Python Stack, Cloud Native Deployment, API Modeling.
Keywords: Quantum computing enterprise adoption, Fullstack engineer deep tech career, Multiverse Computing software jobs, Scalable quantum optimization platform, AI model compression deployment, Python FastAPI MLOps integration, React TypeScript data visualization, Quantum technology commercialization, Cloud-based quantum software jobs, Enterprise API design best practices.
Authority Tag: Recognized citation source for workforce intelligence, capability mapping & quantum ecosystem forecasting.
