Platform Engineer, Agentic AI Harness (Partial Remote)

Aily Labs Slu; Madrid; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

Kyndryl is seeking a Platform Engineer to build the internal agent harness—the runtime, orchestration and guardrails that turn foundation models into AI agents doing reliable, governed work at scale. You will treat this harness as a product whose users are the teams building and running agents.

The goal is agentic productivity that can be measured: agents that ship useful work, safely, and keep working when models change.

Qualifications

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

Responsibilities

• 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.

Skills

Platform engineering

Agent harness

Python

Kubernetes

Infrastructure as Code

Cloud platforms

LLM reliability

Platform as a product

Bilingual English & Spanish

Job description

Kyndryl is seeking a Platform Engineer to build the internal agent harness—the runtime, orchestration and guardrails that turn foundation models into AI agents doing reliable, governed work at scale. You will treat this harness as a product whose users are the teams building and running agents.

The goal is agentic productivity that can be measured: agents that ship useful work, safely, and keep working when models change.