AI platform engineer

Ubique Systems; Vitoria; A distancia; EUR 50.000 - 75.000; Jornada completa

Descripción de la vacante

A technology firm is seeking an AI Platform Engineer to build robust data and cloud foundations for AI workloads. The role involves designing agentic AI systems, developing self-orchestrating workflows, and collaborating with interdisciplinary teams. Ideal candidates possess strong engineering skills, AWS experience, and familiarity with automation tools. Remote flexibility and a focus on responsible AI practices are foundational to this position.

Formación

• Experience in software engineering with Python, TypeScript, or similar languages.
• Proven experience with AWS infrastructure and Infrastructure-as-Code.
• 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 (EC2, IAM, S3, Lambda, CloudWatch)

Infrastructure-as-Code tools (Terraform / CDK)

CI/CD pipelines

Git-based workflows

AI tools (e.g., 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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