Why this role exists

AI-assisted development has crossed the threshold from experiment to production system. But most companies are still running AI like it's 2023: ad hoc tool adoption, no cost attribution, no safety guarantees, no cross-team consistency. That's not a tooling gap — it's an infrastructure gap.

The AI Ops Engineer closes it.

You'll own the platform that makes AI productive, safe, and economically rational across every team — engineering, product, operations, and beyond. You're not configuring tools. You're building the operating layer that determines how fast this company can learn, ship, and compound.

If a Context Engineer makes AI effective within a codebase, the AI Ops Engineer makes AI effective everywhere — across repos, teams, workflows, and business functions.

This is one of the highest-leverage roles in the company.

What you'll own

- AI-native CI/CD with quality, safety, and intelligence gates
- Cross-repo agent infrastructure (Claude Code, MCP servers, shared context libraries)
- Multi-model routing strategy and provider management
- Token spend visibility and cost-per-outcome optimization
- Internal automation workflows (n8n and beyond)
- Security scanning and AI-specific risk management
- Safe AI enablement for non-technical teams

You're likely a fit if

You automate your own workflows unprompted, have strong opinions about pipeline architecture, and get genuine satisfaction from systems that quietly work at scale.

Core background

DevOps,



Platform Engineering, or Developer Experience — with deep CI/CD fluency, strong scripting ability, and an observability mindset. LLM API experience and familiarity with agent tooling are a strong plus.

This role reports to the VP of Engineering / CTO and has direct ownership of AI tooling spend. Compensation is benchmarked against senior platform engineering roles.

We're not hiring someone to keep the lights on. We're hiring someone to build the power plant.

Compensation philosophy

This role sits at the intersection of infrastructure, AI, and company-wide leverage. Compensation reflects that — it's benchmarked against senior platform engineering roles, not junior DevOps.

The mindset we're hiring for

This is not "keep the lights on." This is build the power plant — then make it reliable, safe, observable, scalable, and intelligent.

You'll be trusted with systems that influence how code gets written, reviewed, and shipped. How risk is controlled. How costs are managed. How quickly the entire company can learn, adapt, and execute.

Every team's ceiling is partly determined by the platform you build. Every dollar of AI spend either compounds or evaporates based on the infrastructure you design.

If that sounds exciting — if you want to build the platform that makes everyone else sharper, faster, and more capable — this role is for you.

Ideawise is an equal opportunity employer.

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📌 AI OPS Engineer (immediate start ) - Ideawise (Barcelona)
🏢 Talent
📍 Barcelona