Staff AI Platform Engineer

Job not on LinkedIn

🔥 1 minute ago

🇪🇸 Spain – Remote

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

👻 Ghost score 10%

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Technosylva

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1997

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

<Technosylva> is a provider of AI-driven wildfire and extreme weather risk mitigation software that delivers real-time forecasting, predictive simulations, and incident management tools for electric utilities, fire agencies, and insurers. Their cloud-based products (Wildfire Analyst, Tactical Analyst, fiResponse) offer situational awareness, operational decision support, and risk quantification to help customers plan, operate, and respond to wildfire and severe weather events.

📋 Description

• Own the AI Platform architecture and set its technical vision and standards • Document the architecture • Lead the evolution of the AI gateway and model-routing decisions, including provider routing, hybrid and on-prem routing, failover, caching, rate limits and multi-provider compatibility • Decide the agent orchestration stack • Design sandboxing and lifecycle management for agents that run code or access internal systems • Define multi-agent and human-in-the-loop patterns • Design identity and access control for people and non-human agent identities • Lead model, tool and MCP allowlists and access tiers • Work with Legal and Security on EU AI Act and data-classification requirements • Shape the skills/plugins repository and define the security model for the curated MCP registry • Standardize tooling for tracing agent decisions, evaluations, drift detection and quality-regression monitoring • Design cost attribution and allocation for token and compute spend • Serve as technical escalation point for embedded AI delivery • Unblock teams, review designs and create golden paths • Partner with Security teams on threat modelling and controls for prompt injection, data exfiltration and over-privileged tools • Mentor engineers, run design reviews and RFCs, and represent AI Platform in engineering-wide technical decisions • Participate in on-call rotation and incident response for production AI services

🎯 Requirements

• 8+ years in software, platform, infrastructure or SRE engineering • Experience at Staff/Principal level or in a tech-lead role owning architecture across teams • Strong understanding of LLM and API fundamentals, including context windows, tool use, structured outputs, streaming, prompt caching, and provider API differences • Hands-on experience designing or running an LLM gateway or similar layer, including build-vs-buy decisions • Experience with agent orchestration patterns, including multi-agent workflows, delegation, human-in-the-loop approval gates, memory and context management, and token optimization • Experience working with Security teams on threat modelling, security reviews and risk acceptance for production systems • Working knowledge of the Model Context Protocol (MCP), including implementing servers, scoping tools, and reviewing third-party servers for security • Production experience with containers and isolation, including Docker and Kubernetes • Infrastructure as code experience with Terraform or similar on at least one major cloud; Azure preferred • Solid grasp of observability, including OpenTelemetry, Prometheus and Grafana, and reliability engineering for non-deterministic AI systems • Strong coding skills • Record of influencing without authority, writing RFCs and architecture decision records, gaining team agreement, and explaining technical trade-offs to non-technical stakeholders • Nice to have: experience with AI evaluation and observability tools • Nice to have: FinOps experience with usage-based cost models • Nice to have: familiarity with AI governance frameworks including EU AI Act, NIST AI RMF and ISO/IEC 42001 • Nice to have: experience with AI coding agents and extension models • Nice to have: hands-on experience designing or evaluating model routing solutions • Nice to have: experience serving self-hosted or on-prem models • Nice to have: experience building developer platforms, golden paths or internal developer portals

🏖️ Benefits

• Competitive annual salary • Private health insurance • Flexible benefits plan allowing employees to tailor part of their compensation package to personal needs • Annual bonus based on individual performance and company results • Flexible working hours • Remote work options