Platform Engineer: AI Agent Harness & Orchestration

Kyndryl

Madrid

Híbrido

EUR 70.000 - 100.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Be Well program
Hybrid-friendly culture
Learning opportunities (certifications
Career development

Descripción de la vacante

Kyndryl in Madrid is seeking a Platform Engineer to build the internal agent harness: the runtime, orchestration, and guardrails that turn foundation models into reliable AI agents. You will treat the harness as a product used by engineering teams, delivering measurable agentic productivity and handling model upgrades without rewrites.

The role demands hands-on Python, Kubernetes, IaC, and cloud experience, plus professional English and Spanish.

Formación

  • 5+ years of Platform Engineering, DevOps or SRE experience.
  • Hands-on experience building agent harnesses or agentic systems.
  • Proficient Python software engineering for production systems.
  • Strong cloud-native background: Kubernetes, containers, IaC, and one major cloud (AWS, Azure or GCP).
  • Understanding of how LLM agents fail and how to make them reliable.
  • Experience treating a platform as a product with contracts, SLOs, adoption metrics and real users.
  • Professional working English and Spanish.

Responsabilidades

  • Design and build the agent harness: runtime, orchestration, tool and MCP integration, context and memory, evaluation, guardrails and observability.
  • Build golden paths and reusable patterns so teams ship agents that are reliable, governed and measurable.
  • Define the oversight model: policy‑as‑code, human‑in‑the‑loop checkpoints, loop and failure detection, evaluation harnesses, and cost control.
  • Integrate agents with the systems they act on: CI/CD, infrastructure, cloud services, observability and ticketing, through APIs and MCP.
  • Make agentic productivity measurable: define what productive means for each use case, instrument it, and run the harness on that data.
  • Keep the harness model‑agnostic and versioned, so it survives model upgrades and provider changes without rewrites.
  • Mentor teams, run enablement, and reduce friction between Dev, Ops, Security and the people adopting agents.

Conocimientos

Platform engineering
DevOps/SRE
Python
Kubernetes
Cloud & IaC
LLM agent reliability
Platform as a product
English/Spanish

Herramientas

LangGraph
CrewAI
AutoGen

Descripción del empleo

Kyndryl in Madrid is seeking a Platform Engineer to build the internal agent harness: the runtime, orchestration, and guardrails that turn foundation models into reliable AI agents. You will treat the harness as a product used by engineering teams, delivering measurable agentic productivity and handling model upgrades without rewrites.

The role demands hands-on Python, Kubernetes, IaC, and cloud experience, plus professional English and Spanish.

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