Role : AI Platform Engineer (Data, Infrastructure & Agentic Systems)
Location : Barcelona, Spain
6 months extendable contract
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.