AI platform engineer

Ubique Systems; Barcelona; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading tech company in Barcelona seeks an AI Platform Engineer to build foundational data and cloud structures for AI workloads. The role requires expertise in AWS, Python, and automation tools. Candidates should drive responsible AI practices and have experience with agentic systems. Send your resume to apply.

Formación

• Strong software engineering background required.
• Proven cloud infrastructure automation experience.
• Solid understanding of data engineering principles.

Responsabilidades

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

Conocimientos

Python

TypeScript

AWS (EC2, IAM, S3, Lambda)

Terraform

CI/CD pipelines

Kubernetes

Herramientas

New Relic

OpenTelemetry

Weaviate

Qdrant

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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