A forward-thinking services company at the forefront of AI-native innovation. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.
You are An AI Native Engineer with a strong foundation in building cloud-native solutions and hands‑on experience designing and deploying agentic systems, especially for enterprise environments. You'll shape how enterprises adopt AI-native engineering - either by leading complex agentic solutions and developing engineering talent, or by owning critical technical areas end-to-end as a senior IC.
Often, these will be net-new platforms and systems that need to be stitched together in our clients’ environments alongside our ecosystem partners.
Cloud‑Native Engineering
Leverage containerization (Kubernetes, Docker), microservices, serverless, event‑driven architectures, CI/CD, and observability stacks to deliver scalable AI‑native systems.
Own deployment, monitoring, and troubleshooting for your services in production.
Tailor and deploy agentic applications across verticals (e.g.,



Participate in and/or lead design workshops, POCs, and code‑with sessions to shape data‑driven agent workflows with stakeholders, fostering trust and adoption.
Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
Iterate rapidly based on data, feedback, and changing requirements.
Use AI coding assistants daily as a standard part of delivery, actively, frequently, and with demonstrable impact on productivity and output quality.
Apply AI across the full software delivery lifecycle: AI‑generated tests, AI‑assisted debugging, AI‑accelerated code review, and prompt engineering for development tasks.
Own the quality of AI‑generated outputs in your delivery scope, exercise engineering judgment about reliability, limitations, and failure modes; know when AI output is production‑ready and when it is not.
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📌 AI Graduate Software Engineer (Madrid)
🏢 Accenture España
📍 Madrid