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

• 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.

Job Overview

We are seeking a skilled and experienced Software Engineer for Agent Orchestration with a strong technical background in Agentic AI to join our team. In this role you will have the opportunity to lead the design and implementation of the orchestration layer for our Agentic AI and RAG systems, as well as working closely with cross-functional teams to turn outcomes into actionable insights to be integrated into our products. You will have the opportunity to work on challenging projects and shape the future of Generative AI systems.

As a Software Engineer for Agent Orchestration, you will

• Build and maintain the orchestration layer for our Agentic AI and RAG systems, designing planning, tool-use, memory, routing, and state management so agents reliably solve real customer workflows (cloud and edge).

• Build agentic systems end-to-end, collaborating closely with ML, data, and backend teams to integrate Small Language Models (SLMs) and data pipelines into robust, production-grade agent workflows.

• Design technical solutions for reliable multi-agent coordination and execution flow, with robust error handling and comprehensive observability; including structured logging, tracing, and metrics (task success, tool success, latency, cost, token usage), so automations are debuggable and auditable in customer-facing production systems.

• Build reusable, configurable components for AI Agents including planners, controllers, tool adapters, retrieval, memory modules, and guardrails; not a new framework, but production-ready building blocks we can assemble per use case.

• Build, document, and maintain APIs and interfaces for connecting toolchains, data sources, model inference endpoints, and external services to agent orchestrator logic.

• Drive continuous improvements with peers in evaluations, data, and models: align on KPIs, golden tests, and failure taxonomies; use production data and incident analysis to turn findings into prioritized fixes in prompts, tools, retrieval, and policies.

• Optimize for performance and cost through caching and batching, streaming I/O, concurrency controls, token/latency budgeting, and hardware-aware execution across CPU/GPU and edge targets.

• Champion developer experience, creating templates, CLIs, and reference implementations; writing clear design docs; leading code reviews; mentoring engineers, and raising the bar on reliability and maintainability.

• Maintain robust engineering standards, including clear documentation, reproducible workflows, and adherence to data governance best practices.

Required minimum Qualifications

• Master’s degree in Computer Science, Software Engineering, or a related technical field, with relevant practical experience.

• 3+ years of professional experience as a Software Engineer with a focus on backend, orchestration, or AI/ML systems.

• Hands-on experience building agentic or workflow-based systems, including agent orchestration (e.g., planning, tool integration, memory, or multi-step workflows), multi-agent systems, and LLM-based workflow automation, with solid experience in relevant frameworks (e.g., LangGraph or similar).

• Proven track record in integrating generative AI systems and ML models into production pipelines, with attention to error handling, fallback strategies, and monitoring.

• Practical experience developing APIs, adapters, or connectors to integrate external tools, data sources, and services into complex software workflows.

• Strong understanding of observability and reliability practices: structured logging, tracing, metrics, and debuggable execution flows.

• Demonstrated ability to optimize execution for performance and cost (latency, concurrency, caching, batching, resource utilization across cloud and edge environments).

• Proficiency in Python with strong software engineering fundamentals: version control (Git), testing, CI/CD, and documentation.

• Excellent collaboration skills and experience working cross-functionally with ML, data, and research teams to deliver production-grade systems.

• Strong written and verbal communication skills, with the ability to document designs clearly and mentor other engineers.

• Fluent in English.

Preferred Qualifications

• Master’s degree or PhD in Computer Science, Software Engineering, or related field with a focus on AI systems, orchestration, or distributed systems.

• Hands-on experience with agent orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI) and multi-agent coordination strategies.

• Practical knowledge of retrieval-augmented generation (RAG) systems, including retrieval pipelines, memory design, and evaluation.

• Experience integrating Small Language Models (SLMs) or optimized LLMs into real-time systems, with awareness of trade-offs in latency, accuracy, and cost.

• Background in observability at scale: designing dashboards, monitoring pipelines, and building automated alerting for complex workflows.

• Track record of open-source contributions in the AI or agent ecosystem, or publications/talks on building agentic systems.

• Fluent in Spanish.

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!

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.

Department

Technical

Locations

Madrid, Barcelona

Employment type

Contract

Workplace type

Hybrid

Seniority level

Associate

Already working at MULTIVERSE COMPUTING?

Let’s recruit together and find your next colleague.