N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software, IoT , and more to general industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.Our client is a fast-growing European fintech company in the business spend management space — corporate cards and related financial products — serving SME and mid‑sized business customers across the EU and UK, in a regulated environment with GDPR compliance obligations. Engineering is organized into cross‑functional squads, with platform/enabling teams providing shared tooling horizontally. The client already runs an AI‑native engineering practice: Claude Code and GitHub Copilot are used daily, supported by a growing library of shared, versioned Skills embedded in key repositories, enabling an end‑to‑end flow from ticket to implementation, testing and PR in several codebases. AI tool/connector rollout follows an approved‑list and pilot process. The client is AWS‑first overall; for data platform and analytics workloads it also runs GCP, with BigQuery as the primary data warehouse. Day‑to‑day coordination is Slack‑first, with Linear for ticket tracking, GitHub for code/PR review, and Notion as the knowledge base.The client is also building out its AI platform and agentic capabilities: it recently launched an MCP surface in closed beta, giving external AI assistants a structured way to connect and perform real workflows behind guardrails, and treats agent reliability as a system property (tool contracts, approval/consent gates for write actions, evaluation harnesses).a Senior AI Platform Engineer to design,



build and operate the shared GenAI infrastructure that product teams rely on.Key Responsibilities:Design, build and operate shared GenAI infrastructure: LLM routing, vector search and RAG infrastructure, MCP gateway, and AI observability/evaluation tooling.Apply strong distributed‑systems fundamentals: async workflows, idempotency, failure design.Work hands‑on with LLM APIs in production.Apply an AI‑security mindset: prompt injection defenses, PII‑in‑logs handling, credential handling.Apply real engineering rigor to the Context Development Lifecycle (CDLC): generate, evaluate, distribute and observe the context that powers AI agents.Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation.Embed directly into a client squad as a hands‑on Individual Contributor (not a coaching/managerial role).Must‑Have Skills:Kotlin or Python as primary proficiency, with comfort contributing to both.Experience designing/building/operating shared GenAI infrastructure: LLM routing; vector search and RAG infrastructure; MCP gateway; AI observability and evaluation tooling.Strong distributed‑systems fundamentals: async workflows, idempotency, failure design.Hands‑on production experience with LLM APIs.AI‑security mindset: prompt injection, PII in logs, credential handling.Agent & harness engineering fluency, with concrete evidence of building/operating this kind of tooling, not just using it.Comfortable with the client's current daily tools: Claude Code and GitHub Copilot.Nice‑to‑Have Skills:Specific cloud depth (AWS and/or GCP), Grafana, or named LLM API vendors. The RFP describes these capabilities generically rather than naming specific tools for this role — listed here as plausible, not confirmed.#J-18808-Ljbffr

📌 Senior AI Platform Engineer (#5640) (Madrid)
🏢 N-iX
📍 Madrid