(TS-257) | Remote Engineer:In (M/W/D)

TechNET IT Recruitment; Barcelona; Híbrido; EUR 100.000 - 110.000; Jornada completa

Descripción de la vacante

A leading IT recruitment firm is seeking a Principal AI Engineer in Barcelona to lead the development of impactful AI systems. This role involves building Generative AI systems, mentoring engineers, and translating business needs into scalable solutions. Candidates should have proven experience with LLMs and strong skills in Python. Hybrid working with relocation support is available, making this a rare opportunity to join a significant global initiative.

Formación

• Experience with deploying machine learning models into production.
• Expertise in Generative AI architectures and related technologies.

Responsabilidades

• Lead the design, build, and deployment of AI systems.
• Translate business needs into production-ready AI products.
• Mentor and guide other engineers.

Conocimientos

Proven experience working with LLMs

Excellent Python skills

Hands-on experience with PyTorch

Knowledge of AWS services

Familiarity with time series analysis

Herramientas

TensorFlow

scikit-learn

Descripción del empleo

Role :
Principal AI Engineer
Location:
Barcelona (Hybrid) (Relocation support is available)
Type:
Full-time, Permanent
Salary:
€100K–€110K
We're looking for a Principal AI Engineer to lead the design, build, and deployment of real-world AI systems – not just prototypes or prompt-driven demos.
This is a high-impact, hands-on role within a confidential, global initiative where you'll work on advanced Generative AI, MLOps, and traditional machine learning solutions.
What you'll do
Build and deploy Generative AI systems, including custom Retrieval-Augmented Generation (RAG) pipelines
Lead machine learning projects in areas such as predictive maintenance, optimisation, and automation




Translate business needs into scalable, production-ready AI products
Mentor other engineers and contribute to the technical direction of the team
Drive best practices in MLOps, from model lifecycle management to CI/CD and monitoring
Example problems you'll tackle
Diagnosing noisy or inaccurate responses from deployed LLMs
Building predictive models from very limited or sparse historical data
Scaling GenAI pipelines with strong performance, compliance, and traceability
What we're looking for
Proven experience working with LLMs, Transformers, and Generative AI architectures
A strong track record of deploying machine learning models into production environments
Excellent Python skills and hands-on experience with frameworks like PyTorch, TensorFlow, or scikit-learn
Solid knowledge of AWS services such as SageMaker, Bedrock, Lambda, and S3
Familiarity with time series analysis, anomaly detection, and mathematical optimisation
Comfortable with software engineering best practices and model delivery at scale
Bonus:
experience with modern web frameworks or cloud data platforms




Additional details
Hybrid working with relocation support available (12 weeks)
Interview process includes a live Python coding assessment
This is a rare opportunity to join a global programme focused on delivering scalable, impactful AI – not experimental tools or short-term prototypes.
If you're ready to build meaningful AI systems from the ground up, we'd love to hear from you.