# Engineering Manager, AI / ML at MULTIVERSE COMPUTING

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> Responsibilities: - Lead an international engineering team t

- **Company:** MULTIVERSE COMPUTING (https://jobs.trythestack.co/companies/multiverse-computing)
- **Location:** Donostia, ES, Spain
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Project Management, Generative AI, Deep Learning, Python, Docker, Git, RAG, Agentic AI, LLM Fine-tuning, Model Compression, Agile Methodologies, Leadership, Computer Vision, Cloud Deployment, Data Science, Tensor Networks
- **Posted by employer:** 2026-06-04
- **Added to The Stack:** 2026-06-04
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://multiversecomputing.teamtailor.com/jobs/7852180-engineering-manager-ai-ml (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/engineering-manager-ai-ml-multiverse-computing

## About the role

Responsibilities:
- Lead an international engineering team to design, implement, and deploy ML, vision, and generative AI systems to production.
- Define technical direction, architecture and best practices for complex AI projects (model training, compression, fine-tuning, inference optimization).
- Manage end-to-end project lifecycle: scope, timelines, resource allocation, risk mitigation, and delivery quality.
- Coordinate cross-functional work with product, research, QA, and DevOps to integrate models into products and pipelines.
- Mentor engineers, run technical reviews, promote code quality, reproducibility, and observability in ML systems.
- Drive deployment and scaling of models in cloud and edge environments, ensuring performance and cost-efficiency.

Requirements:
- Master’s or PhD in AI, Computer Science, or related field.
- 5+ years industry experience in AI/ML or data science and 2+ years in people/project management.
- Hands-on expertise with Python, containerization (Docker), CI/CD, Git, and cloud deployment patterns.
- Practical experience with LLMs, generative AI workflows (RAG, fine-tuning), model compression and inference optimization.
- Strong leadership, stakeholder communication, and project planning skills.
- Fluent in English (and Spanish as stated in original requirements) and able to work in a multicultural environment.

## Responsibilities

Lead an international team of engineers to design, implement, and deploy AI, ML, and Generative AI systems into production environments. Manage the full project lifecycle from initiation to completion, ensuring technical quality and alignment with client business goals.

## Requirements

Requires a Master's or PhD in AI, Computer Science, or a related field with 5+ years of industry experience and 2+ years of project management. Must have hands-on expertise in Python, LLMs, and deploying AI solutions in cloud environments, with fluency in both Spanish and English.

## FAQ

- **Is this Engineering Manager, AI / ML role still open?** It was posted on 2026-06-04. Listings more than 30 days old may no longer be active, so check MULTIVERSE COMPUTING's site before applying.
- **Does MULTIVERSE COMPUTING offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on MULTIVERSE COMPUTING's site.
- **Where is this role located?** The listing gives the location as Donostia, ES, Spain. It is marked on-site.
- **What skills does this role ask for?** The listing names: Project Management, Generative AI, Deep Learning, Python, Docker, Git, RAG, Agentic AI, LLM Fine-tuning, Model Compression, Agile Methodologies, Leadership, Computer Vision, Cloud Deployment, Data Science, Tensor Networks.

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## Notes for agents

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