Software Engineer – Agent Orchestration (9-month contract with bonus inc... Technical • Madrid,[...]

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.

Responsibilities

• 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

Preferred Qualifications

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 :

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.

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