AI platform engineer

Ubique Systems; España; Presencial; EUR 60.000 - 85.000; Jornada completa

Descripción de la vacante

A tech company specializing in AI is looking for an AI Platform Engineer in Barcelona. You will design agentic AI systems, engineer data and cloud foundations, and utilize your expertise in Python and AWS to automate workflows. The ideal candidate has a strong software engineering background and experience with AI tools. Competitive compensation and dynamic work culture offered.

Formación

• Strong software engineering background.
• Proven experience building cloud infrastructure.
• Experience with AI tools to enhance productivity.

Responsabilidades

• Engineer data and cloud foundations for AI workloads.
• Design agentic AI systems and automate workflows.
• Integrate data pipelines with orchestration layers.

Conocimientos

Python

TypeScript

AWS (EC2, IAM, S3, Lambda, CloudWatch)

Infrastructure-as-Code (Terraform/CDK)

Data engineering principles

CI/CD pipelines

AI tools (claude, Copilot, LangChain)

Kubernetes/EKS

Observability tools (New Relic, OpenTelemetry)

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.
• A 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.

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