AI Systems Engineer | LLMs | €55k-75k p / a | Fixed term contract until June 2026 | Quantum Com[...]

Envirorec; Aragón; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

A specialist recruitment firm is seeking an AI Systems Engineer to join an expanding engineering team in Zaragoza, Spain. This role offers a fixed-term contract until June 2026 with hybrid working arrangements. Responsibilities include deploying AI models into production, maintaining data processing pipelines, and troubleshooting system issues. Ideal candidates will have experience in software engineering, machine learning, and cloud environments. Visa sponsorship is available for eligible candidates.

Servicios

Visa sponsorship

Hybrid working

Formación

• Experience in software engineering or backend development.
• Proven background in machine learning engineering or model deployment.
• Experience with cloud engineering and edge systems.

Responsabilidades

• Deploy AI and machine-learning models into production environments.
• Maintain and improve data processing pipelines.
• Investigate and resolve system behavior issues.

Conocimientos

Software engineering

Machine learning engineering

Data Science

Generative AI

Cloud engineering

Python development

Herramientas

AWS

Azure

Linux

Descripción del empleo

AI Systems Engineer | LLMs & Generative AI | €55k‑€75k p / a | Fixed term contract until June 2026 | Quantum Computing and Software | Zaragoza | Hybrid WFH | Visa sponsored | Machine Learning & Data Science

Working arrangements: Hybrid home working, 3 days a week in office, 2 days a week WFH

Contract: Fixed term short contract only until project end in June 2026

Location: Zaragoza, Spain

Visa Sponsorship: Yes, available

We are a specialist recruiter working with an expanding engineering team hiring skilled professionals who want to work at the intersection of artificial intelligence, real‑world system deployment and high‑performance operational engineering.

You will join a rapidly growing deep‑tech company building advanced AI solutions for industrial and enterprise clients across Europe and beyond.

These roles sit within the group responsible for ensuring that AI models, software components and edge devices operate reliably, efficiently and at scale.

Depending on your background, you may work on model integration, cloud or edge deployment, validation workflows, system optimisation, customer support, automated pipelines, or platform reliability.

You will be hands‑on across engineering activities such as system integration, debugging, testing, pipeline maintenance, deployment processes, performance tuning and continuous improvement of AI‑driven systems in production environments.

Key responsibilities

• Deploying AI and machine‑learning models into production (edge devices or cloud environments).
• Maintaining and improving pipelines for data processing, training, inference and ongoing model updates.
• Investigating and resolving system behaviour issues, performance bottlenecks and integration challenges.
• Running validation and quality‑assurance workflows to ensure models and systems meet reliability standards.
• Supporting internal and external users with technical troubleshooting and operational guidance.
• Implementing automation, observability and documentation to strengthen delivery workflows.
• Ensuring consistent performance across distributed systems, GPUs, embedded devices and cloud services.
• Collaborating closely with AI engineers, backend teams, testing teams and product stakeholders to support smooth deployments.

Requirements / Experience

• Software engineering or backend development
• Machine learning engineering or model deployment
• Data Science
• LLM Engineering
• RAG Systems
• Generative AI
• Data and pipeline engineering
• Cloud engineering (AWS, Azure, or similar)
• Edge or embedded systems
• QA, validation, testing or technical support
• Distributed systems and high‑performance computing
• Python and / or Linux‑based development, containerisation or automation tools

If you are someone who enjoys solving complex technical challenges, ensuring operational reliability and being close to real AI systems used in production, this is an excellent opportunity to grow and make an impact.

We are looking for engineers who are curious, hands‑on, comfortable with problem‑solving, and motivated by deploying advanced AI technologies into real‑world environments.

If this sounds like you, we’d love to hear from you.