ph3Who We Are /h3 pWe are moving towards an AI‑native delivery model where small, highly skilled teams are augmented by AI agents. Instead of relying on traditional, fully manual analysis and specification phases, we use AI to accelerate understanding of existing systems, identify gaps, and generate high‑quality specifications. /p pAs an AI Engineer, you play a key role in building and running the technical backbone that enables this new way of working. /p h3What You’ll Be Doing /h3 ul liImplement and maintain the AI backbone that supports end‑to‑end delivery /li liConfigure, train, and orchestrate AI models and agents working directly on existing codebases /li liEnable automated gap analysis, requirement refinement, and specification generation using AI /li liIntegrate AI capabilities into real‑world software systems, not isolated PoCs /li liEnsure AI‑driven outputs are robust, scalable, and accurate enough for enterprise use /li liContinuously improve prompts, workflows, and agent coordination to increase quality and consistency /li liWork closely with the Intent Engineer to iterate on outputs and ensure alignment with business intent /li liSupport a shift from traditional requirement creation to AI‑assisted, exploration‑driven delivery /li /ul h3What You’ll Bring Along /h3 ul li5+ years of professional experience in software engineering, backend,



or platform engineering roles /li liStrong software engineering background with hands‑on experience in modern architectures /li liExperience in the insurance domain, with exposure to insurance platforms, business processes, or core systems (e.g. policies, claims, billing, underwriting, integrations) /li liFamiliarity with AI‑native engineering practices, such as agent‑based or orchestration‑driven approaches (e.g. Gastown‑style concepts) /li liHands‑on experience with Claude or similar large language models, including: /li ul liUsing AI tools directly within an IDE or development workflow /li liWriting effective prompts for code analysis, code generation, and iterative refinement /li /ul liSolid understanding of modern engineering patterns, including: /li ul liAPI design and integration /li liMicroservices architectures /li liEvent‑driven and integration‑based systems /li /ul liExperience working with existing, non‑trivial codebases and enabling AI‑driven analysis on top of them /li liPractical understanding of prompt engineering as an engineering tool, not just experimentation /li liA mindset focused on production quality, repeatability, and maintainability rather than demos /li liVery good command of English (spoken and written), suitable for working in an international, client‑facing environment /li /ul /p #J-18808-Ljbffr

📌 AI Engineer (AI-Native Development & Claude-based Systems) (Reus)
🏢 Ntt Data Europe & Latam
📍 Reus