AI Platform Engineer

hace 4 días

Barcelona, Barcelona, España Infoplus Technologies UK Limited A tiempo completo

· Job Title: AI Platform Engineer (Data, Infrastructure & Agentic Systems)

· Location: Barcelona, Spain (Hybrid, 2-3 days onsite)

· Duration: 6 months (B2B) contract

Job Description:

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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