Engineer | DATA

Ubique Systems; Madrid; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A technology company is seeking an AI Platform Engineer to design and implement agentic AI systems and build automation solutions. The ideal candidate will have a strong background in software engineering, particularly in Python or TypeScript, and substantial experience with AWS and Infrastructure-as-Code tools like Terraform. Responsibilities will include engineering data foundations and integrating AI capabilities into operations.

Formación

• Strong software engineering background with Python or TypeScript.
• Experience building and automating cloud infrastructure using AWS.
• Solid understanding of data engineering principles.

Responsabilidades

• Engineer robust data and cloud foundations for AI workloads.
• Design and implement agentic AI systems for automation.
• Build automation and observability solutions using Infrastructure-as-Code.

Conocimientos

Python

TypeScript

AWS

Terraform

CI/CD

Kubernetes

Data engineering

Herramientas

AWS services (e.g., EC2, S3)

Infrastructure-as-Code tools

Observability tools

Descripción del empleo

Role

AI Platform Engineer ( Data, Infrastructure & Agentic Systems )

Location

Barcelona, Spain

Mandatory

agentic AI

Key Responsibilities

• Engineer robust data and cloud foundations to support AI workloads and automation at scale across AWS environments.
• Design and implement agentic AI systems as part of a broader automation stack—developing self‑orchestrating workflows, APIs, and reusable platform components.
• Build automation and observability solutions using Infrastructure-as-Code (Terraform / CDK) and modern monitoring frameworks.
• Integrate data pipelines with intelligent orchestration layers to enable autonomous experimentation and deployment.
• Collaborate across disciplines—partnering with data engineers, AI scientists, and platform specialists to embed AI capabilities into core operations.
• Champion responsible and scalable AI automation, ensuring compliance, reliability, and transparency by design.

Required Experience & Skills

• Strong software engineering background with Python, TypeScript, or similar languages.
• Proven experience building and automating cloud infrastructure using AWS (EC2, IAM, S3, Lambda, CloudWatch, etc.) and Infrastructure-as-Code tools (Terraform / CDK).
• Solid understanding of data engineering principles—pipeline design, data flow orchestration, and API integration.
• Experience with CI / CD pipelines and Git-based workflows.
• Demonstrated experience in use of AI tools (e.g., claude, Copilot, LangChain, agent frameworks) to enhance productivity.
• Self‑driven, curious problem solver who experiments and iterates toward impactful solutions.
• Experience deploying or integrating agentic AI architectures, such as orchestration frameworks or autonomous agents.
• Knowledge of RAG pipelines, embeddings, and vector databases (e.g., Weaviate, Qdrant).
• Familiarity with Kubernetes / EKS and observability tools (New Relic, OpenTelemetry).
• Understanding of model hosting and optimization (vLLM, Triton, HuggingFace).
• Awareness of data governance and responsible AI practices in enterprise or regulated settings.