Senior AI Platform Engineer (Spain Only)

Technosylva, Inc.; Spain; Remote; EUR 110,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Private health insurance and flexible

Annual bonus

Remote work options

Job summary

Technosylva is seeking a Senior AI Platform Engineer to build and run the core services of our AI platform, including gateway integrations, the skills/plugins review pipeline, and the MCP registry. You’ll handle cost and observability tooling, and participate in on-call rotations to ensure reliable production AI services.

You’ll work with Docker, Kubernetes and IaC on major cloud platforms, collaborate with security teams, and help expand our self-service tooling for engineers across the

Qualifications

• 5+ years building and running production services in software/platform/DevOps or SRE.
• Hands-on with LLM APIs including streaming and structured outputs.
• Experience integrating API/LLM gateways (Azure API Management, LiteLLM, Portkey, OpenRouter, Kong).
• Practical AI coding agents and extension models with safety and maintainability focus.
• Experience with Docker, Kubernetes and IaC on major cloud (ideally Azure).
• CI/CD experience including automated validation and review pipelines.
• Security collaboration with security teams and incident response.
• Observability tooling and on-call for production systems.

Responsibilities

• Gateway operations & integration: routing, auth, rate limits, quotas, metadata tagging.
• Skills/plugins pipeline: automated validation, review gates, versioning and releases.
• Curated MCP registry: server intake, security reviews, allowlisting with SLA.
• FinOps tagging & reporting: cost tagging and dashboards for attribution.
• Observability & evaluation: tracing, metrics, evals, dashboards for latency and cost.
• Agent identity & secrets: scoped identities and secret management.
• Security collaboration: work with security on reviews, incident response, controls.
• Model routing operations: routing rules, fallbacks, load balancing and cost impact.
• Self-service & enablement: golden-path templates, CLIs, docs; office hours.
• Operations: on-call rotations, incident handling and runbooks.

Skills

LLM APIs

Gateway operations

DevOps & SRE

Docker and Kubernetes

IaC (Terraform)

CI/CD (GitLab CI)

Security collaboration

Observability tooling

Tools

Docker

Kubernetes

Terraform

GitLab CI

OpenTelemetry

Prometheus

Grafana

Langfuse / Arize / Helicone

Job description

Technosylva builds software that supports high-stakes, time-sensitive decisions for wildfire and natural-hazard management, and AI is a core part of how we build it. As a Senior AI Platform Engineer, you'll build and run the core services of our AI platform: gateway integrations, the skills/plugins review pipeline, the curated MCP registry, and the cost and observability tooling that shows how AI is used across the company. You'll write code, run production services and take part in on-call.

RESPONSABILITIES

• Gateway operations & integration. Configure, extend and run our AI gateway: routing, authentication, rate limits, quotas, metadata tagging, and onboarding new teams and models (cloud, third-party and on-prem).
• Skills & plugins pipeline. Build and run the review pipeline for our skills/plugins repository: automated validation, review gates, versioning and release workflows. Write and review skills, agents and plugins yourself.
• Curated MCP registry. Run the MCP server intake process, including security reviews of third-party servers, tool scoping, and allowlisting, within a published approval SLA. Build internal MCP servers when there's a gap.
• FinOps tagging & reporting. Implement cost tagging and attribution in the gateway and tools so token and compute spend can be traced to teams, products and use cases. Build the dashboards and alerts on top.
• Observability & evaluation. Instrument AI services and agents with tracing, metrics and evals, and build dashboards and alerts for latency, errors, quality and cost per request.
• Agent identity & secrets. Set up scoped, non-shared identities and secrets for agents and automations, following the platform's standards.
• Security collaboration. Work with the Security teams on MCP server and plugin reviews, incident response for AI services, and implementing controls such as access scoping, audit logging and secrets rotation.
• Model routing operations. Configure and maintain routing rules, fallbacks and load balancing across model providers, and monitor how routing affects cost, latency and output quality.
• Self-service & enablement. Build golden-path templates, CLIs and documentation so engineers can adopt AI without constant support. Help run office hours and workshops for engineers across the company.
• Operations. Join the on-call rotation, handle incidents for production AI services, and turn what you learn from incidents into fixes and runbooks.

EXPERIENCIA/HABILIDADES REQUERIDAS

• 5+ years in software, platform, DevOps or SRE engineering, building and running production services.
• Hands‑on experience with LLM APIs: tool use, structured outputs, streaming, prompt caching, and the practical differences between providers (e.g. Anthropic Messages vs. OpenAI‑compatible APIs).
• Experience integrating or configuring an API or LLM gateway (e.g. Azure API Management / AI Gateway, LiteLLM, Portkey, OpenRouter, Kong): routing, auth, rate limiting, tagging.
• Practical experience building with AI coding agents and their extension models (skills, plugins, MCP servers, hooks), and a clear sense of what makes them safe and maintainable.
• Experience with Docker, Kubernetes and infrastructure as code (Terraform or similar) on a major cloud, ideally Azure.
• CI/CD experience (GitLab CI or similar), including building automated validation and review pipelines.
• Experience collaborating with Security teams to implement security controls, remediate findings and support security reviews.
• Experience with observability tooling (OpenTelemetry, Prometheus, Grafana) and with being on call for production systems.

NICE TO HAVE

• Experience implementing MCP servers or reviewing them for security risks (prompt injection, over‑scoped tools, data exfiltration).
• Experience with AI evaluation and tracing tools (Langfuse, Arize Phoenix, Braintrust, Helicone, Grafana AI Observability).
• Hands‑on experience with model routing or LLM proxy tools (e.g. LiteLLM, OpenRouter, Portkey, Azure AI Foundry model router), including configuring routing rules, fallbacks and rate limits.
• Experience with cost tagging, showback/chargeback or FinOps tooling.
• Experience with agent sandboxing.
• Experience building developer tooling, CLIs, internal developer portals (e.g. Backstage) or golden‑path templates.
• Awareness of AI governance and compliance requirements (EU AI Act, data classification).

BENEFITS

• Competitive annual salary.
• Private health insurance and a flexible benefits plan, allowing you to tailor part of your compensation package to your personal needs.
• Annual bonus based on individual performance and company results.
• Remote work options.

At Technosylva, we value diverse experiences and skills, and we understand that every career path is unique. We encourage anyone who believes they meet most of the requirements and is interested in growing and contributing in this role to apply.

DISCLAIMER

Final salary and benefits will depend on a variety of factors, including location, experience, training, qualifications, and market conditions.

EQUAL OPPORTUNITY STATEMENT

Technosylva is an Equal Opportunity Employer. We are committed to fostering an inclusive environment where diverse perspectives lead to better solutions.