The posting
Multiverse Computing
Multiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world. With 300+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.
Our flagship products, CompactifAI and Singularity, address critical needs across various industries:
- CompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems — such as language models — to make them significantly more efficient and portable.
- Singularity is a quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware.
You’ll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We’re looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity.
We’re committed to building a truly inclusive culture — come and join us.
Job Overview
We are looking for a Senior Software Engineer with a strong background in backend systems and hands-on experience building AI agents and LLM-powered applications.
In this role, you will own the design and implementation of production-grade agentic systems, including orchestration, tool integration, retrieval, memory, evaluation, observability, and deployment. You will work across customer projects and product initiatives, collaborating with software, ML, data, and product teams to turn complex requirements into reliable systems.
This is a hands-on engineering role for someone comfortable moving from ambiguous requirements and early prototypes to maintainable systems running in production. Where appropriate, you will also help turn successful project patterns into reusable components and capabilities that can be applied across different use cases.
As a Software Engineer for Agent Orchestration, you will:
- Own the technical design and implementation of AI agent systems, from initial architecture and prototyping through deployment, evaluation, and production operation.
- Build robust backend services, APIs, adapters, and connectors that integrate language models, enterprise data, external tools, and customer systems.
- Design agent workflows involving tool use, routing, state management, memory, retrieval, human-in-the-loop steps, and controlled multi-step execution.
- Develop retrieval and knowledge-grounding capabilities, including RAG pipelines, SQL-based agents, web search, reranking, citation, and context management.
- Define and implement evaluation strategies using representative datasets, golden tests, failure taxonomies, regression testing, human review, and production feedback.
- Build reliable and observable execution flows with appropriate validation, retries, fallbacks, tracing, structured logging, metrics, and alerting.
- Deploy and operate AI systems in cloud and customer environments, working with containerisation, CI/CD, model endpoints, data stores, and production infrastructure.
- Improve latency, scalability, and cost through techniques such as caching, concurrency control, asynchronous execution, streaming, model selection, and efficient context management.
- Implement appropriate security and safety controls, including permissions, input and output validation, sensitive-data handling, auditability, and human approval where required.
- Build reusable components, templates, and reference implementations, and contribute successful patterns from customer projects to shared platforms and product capabilities where appropriate.
- Collaborate closely with customers, ML engineers, data engineers, devops engineers, and other software engineers to clarify requirements, evaluate trade-offs, and deliver useful outcomes.
- Contribute to technical direction through design documents, code reviews, engineering standards, and mentoring of other engineers.
Required Qualifications
- Master’s degree in Computer Science, Software Engineering, or a related technical field, with relevant practical experience.
- 5+ years of professional experience as a Software Engineer, with significant experience designing and owning backend or AI/ML systems in production.
- Hands-on experience building and deploying LLM-powered applications or AI agent systems beyond the prototype stage.
- Strong proficiency in Python and solid software engineering fundamentals, including modular design, testing, version control, code review, CI/CD, and maintainability.
- Experience designing APIs and integrating external services, tools, databases, and data pipelines into production software.
- Practical understanding of agentic system design, including tool use, structured outputs, workflow orchestration, state management, retrieval, error handling, and fallback strategies.
- Experience defining or implementing evaluation approaches for LLM or agent systems and using results to improve system behaviour.
- Experience with production reliability and observability practices, including structured logging, tracing, metrics, alerting, and incident analysis.
- Experience deploying and operating services using cloud infrastructure, containers, and production data stores.
- Strong system-design skills and the ability to explain architectural decisions and trade-offs involving quality, latency, reliability, scalability, and cost.
- Ability to take ownership of complex work, collaborate across disciplines, and communicate effectively with both technical and non-technical stakeholders.
- Fluent written and spoken Spanish and English.
Preferred Qualifications
- Hands-on experience with agent frameworks or SDKs such as LangGraph, LangChain, or similar technologies.
- Experience building end-to-end RAG systems, including ingestion, retrieval, vector databases, reranking, grounding, citation, and evaluation.
- Experience with SQL agents, web-search agents, Model Context Protocol integrations, or other tool-using AI systems.
- Experience with technologies such as FastAPI, PostgreSQL, vector databases, message queues, Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.
- Familiarity with LLM inference and serving platforms, model routing, structured generation, and the trade-offs between hosted, open-source, and optimised models.
- Experience converting project-specific implementations into configurable, reusable components or shared platform capabilities.
- Experience mentoring engineers and raising engineering quality through code reviews, design reviews, and technical guidance.
Perks & Benefits
- Indefinite contract.
- Equal pay guaranteed.
- Variable performance bonus.
- Signing bonus.
- We offer work visa sponsorship (If applicable).
- Relocation package (if applicable).
- Private health insurance.
- Flexible remuneration: hospitality and public transportation.
- Eligibility for educational budget according to internal policy.
- Hybrid opportunity.
- Flexible working hours.
- Language classes and discounted lunch options
- Working in a high paced environment, working on cutting-edge technologies.
- Career plan. Opportunity to learn and teach.
- Progressive Company. Happy people culture.
As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
