ph3AI Platform Engineer /h3 pJob title: AI Platform Engineer /p pLocation: Malaga /p pHours: 37.5 hours /p pWorking pattern: Hybrid, 3 days per week in the office /p pAre you passionate about building production AI systems that make a real business faster and smarter? At A‑SAFE Digital in Malaga the company is creating a new AI vertical focused on practical, secure and scalable AI adoption across the group. As our AI Platform Engineer you will build production agents, own the MCP layer over our core systems, and help colleagues across the business use AI in a way that is trusted, measurable and safe. /p h3How you will make an impact /h3 ul liYou will build production agents, designing multi‑agent workflows that reason, call tools, hold state and recover from failure. /li liYou will own the MCP layer company‑wide, architecting and operating MCP servers over core systems such as NetSuite, including tool registries, OAuth/PKCE, domain isolation, versioning and audit trails. /li liYou will connect company data safely, creating secure agent‑to‑data connections that allow agents to work with real business systems responsibly. /li liYou will drive AI adoption across teams, building shared skill libraries, standards such as CLAUDE.md / AGENTS.md, and practical guardrails that help non‑technical teams get value from AI. /li liYou will own evaluation and observability, designing evals, calibrating judgement, tracing non‑deterministic systems, and monitoring cost, latency and reliability. /li liYou will set the guardrails, thinking ahead about prompt‑injection defence, least‑privilege access, safety, governance and auditability for agents touching real business data. /li liYou will work in an AI‑native environment, using Claude Code, MCP OAuth, AWS, Kubernetes, Terraform, GitHub, Jira, Confluence, Sentry/tracing and our wider data and platform ecosystem.



/li /ul h3What we are looking for /h3 ul liExperience building agentic systems that have reached production, including multi‑agent orchestration, tool‑calling, state, retries and common failure modes. /li liHands‑on experience with MCP, including building or consuming servers, tool registries and secure agent‑to‑data connections. /li liStrong evaluation discipline, with the ability to explain an evaluation you designed and what it showed. /li liA strong engineering foundation in Python and/or Ruby, APIs, cloud platforms and CI/CD, with experience shipping production code. /li liA security‑minded approach, including prompt‑injection defence, least privilege, governance and auditability. /li liConfidence working with business stakeholders and bringing non‑technical teams along, because adoption is a key part of this role. /li liAn interest in measurable outcomes, using DORA and AI productivity metrics rather than assumptions. /li /ul h3Nice‑to‑haves /h3 ul liDepth in MCP and/or A2A protocols, agent UX, latency optimisation and cost optimisation. /li liExperience rolling out AI across a whole organisation, not just within one engineering team. /li liFamiliarity with the agentic AI ecosystem, such as Claude Agent SDK, LangGraph, PydanticAI and observability tooling such as Langfuse. /li liERP or CRM integration experience, particularly with NetSuite. /li liExposure to AWS Bedrock, EKS, NVIDIA DGX, PostgreSQL, ClickHouse, CDC pipelines, Kubernetes, Terraform or similar technologies. /li /ul h3Benefits /h3 ul liOpportunities for professional growth and career advancement. /li liCollaborative and supportive work environment. /li liHybrid model: 3 days in the office, 2 days remote work. /li liOn‑site pool and ping‑pong table. /li liIntensive working hours (Jornada intensiva) in August: during this month we work from 8:00 to 15:00. /li liFlexible working hours with the option to finish early on Fridays. /li /ul /p #J-18808-Ljbffr

📌 AI Platform Engineer (Málaga)
🏢 A-SAFE Digital
📍 Málaga