Senior AI Agent Orchestration Engineer (Hybrid)

Multiverse Computing; Zaragoza; On-site; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Indefinite contract

Equal pay guaranteed

Variable performance bonus

Signing bonus

We offer work visa sponsorship (If/app

Relocation package (if applicable)

Private health insurance

Flexible remuneration: hospitality and

Educational budget according to policy

Hybrid opportunity

Flexible working hours

Language classes and discounted lunch

Working in a high paced environment

Career plan. Opportunity to learn and

Progressive Company. Happy people

Job summary

Multiverse Computing is seeking a Senior Software Engineer to lead backend systems for AI agent orchestration. You will own architecture, build robust services, and integrate LLMs with enterprise data across customer projects and product initiatives.

You will work with ML, data, and product teams to turn complex requirements into reliable, production-grade systems. Fluency in Spanish and English is 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 at least B2 Level English.

Responsibilities

• Own the technical design and implementation of AI agent systems, from initial architecture and prototyping through deployment, evaluation, and production operation.
• Build 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.

Skills

Backend systems

AI/ML systems

Python

API design

Cloud & CI/CD

System design

Team collaboration

Spanish & English

Education

Master’s degree in Computer Science, Software Engineering, or related field

Tools

LangGraph

LangChain

FastAPI

PostgreSQL

Docker

Kubernetes

AWS/Azure/GCP

Job description

Multiverse Computing is seeking a Senior Software Engineer to lead backend systems for AI agent orchestration. You will own architecture, build robust services, and integrate LLMs with enterprise data across customer projects and product initiatives.

You will work with ML, data, and product teams to turn complex requirements into reliable, production-grade systems. Fluency in Spanish and English is required.