Ai Platform Engineer

AI Platform Engineer Job title: AI Platform EngineerLocation: MalagaHours: 37.5 hoursWorking pattern: Hybrid, 3 days per week in the officeAre 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.How you will make an impactYou will build production agents, designing multi?agent workflows that reason, call tools, hold state and recover from failure.You 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.You will connect company data safely, creating secure agent?to?data connections that allow agents to work with real business systems responsibly.You 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.You will own evaluation and observability, designing evals, calibrating judgement, tracing non?deterministic systems, and monitoring cost, latency and reliability.You will set the guardrails, thinking ahead about prompt?injection defence, least?privilege access, safety, governance and auditability for agents touching real business data.You 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.What we are looking forExperience building agentic systems that have reached production, including multi?agent orchestration, tool?calling, state, retries and common failure modes.Hands?on experience with MCP, including building or consuming servers, tool registries and secure agent?to?data connections.Strong evaluation discipline, with the ability to explain an evaluation you designed and what it showed.A strong engineering foundation in Python and/or Ruby, APIs, cloud platforms and CI/CD, with experience shipping production code.A security?minded approach, including prompt?injection defence, least privilege, governance and auditability.Confidence working with business stakeholders and bringing non?technical teams along, because adoption is a key part of this role.An interest in measurable outcomes, using DORA and AI productivity metrics rather than assumptions.Nice?to?havesDepth in MCP and/or A2A protocols, agent UX, latency optimisation and cost optimisation.Experience rolling out AI across a whole organisation, not just within one engineering team.Familiarity with the agentic AI ecosystem, such as Claude Agent SDK, LangGraph, PydanticAI and observability tooling such as Langfuse.ERP or CRM integration experience, particularly with NetSuite.Exposure to AWS Bedrock, EKS, NVIDIA DGX, PostgreSQL, ClickHouse, CDC pipelines, Kubernetes, Terraform or similar technologies.BenefitsOpportunities for professional growth and career advancement.Collaborative and supportive work environment.Hybrid model: 3 days in the office, 2 days remote work.On?site pool and ping?pong table.Intensive working hours (Jornada intensiva) in August: during this month we work from 8:00 to 15:00.Flexible working hours with the option to finish early on Fridays.#J-*****-Ljbffr

Are you passionate about building production AI systems that make a real business faster and smarter?, Hands?on experience with MCP, including building or consuming servers, tool registries and secure agent?to?data connections. Strong evaluation discipline, with the ability to explain an evaluation you designed and what it showed. A strong engineering foundation in Python and/or Ruby, APIs, cloud platforms and CI/CD, with experience shipping production code. A security?minded approach, including prompt?injection defence, least privilege, governance and auditability. Confidence working with business stakeholders and bringing non?technical teams along, because adoption is a key part of this role. An interest in measurable outcomes, using DORA and AI productivity metrics rather than assumptions. Nice?to?haves Depth in MCP and/or A2A protocols, agent UX, latency optimisation and cost optimisation. Experience rolling out AI across a whole organisation, not just within one engineering team. Familiarity with the agentic AI ecosystem, such as Claude Agent SDK, LangGraph, PydanticAI and observability tooling such as Langfuse. ERP or CRM integration experience, particularly with NetSuite. Exposure to AWS Bedrock, EKS, NVIDIA DGX, PostgreSQL, ClickHouse, CDC pipelines, Kubernetes, Terraform or similar technologies.

Opportunities for professional growth and career advancement. Collaborative and supportive work environment. Hybrid model: 3 days in the office, 2 days remote work. On?site pool and ping?pong table. Intensive working hours (Jornada intensiva) in August: during this month we work from 8:00 to 15:00. Flexible working hours with the option to finish early on Fridays. #J-*****-Ljbffr

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. How you will make an impact You will build production agents, designing multi?agent workflows that reason, call tools, hold state and recover from failure. You 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. You will connect company data safely, creating secure agent?to?data connections that allow agents to work with real business systems responsibly. You 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. You will own evaluation and observability, designing evals, calibrating judgement, tracing non?deterministic systems, and monitoring cost, latency and reliability. You will set the guardrails, thinking ahead about prompt?injection defence, least?privilege access, safety, governance and auditability for agents touching real business data. You 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. What we are looking for