Job Summary (List Format):

- Act as a bridge between business innovation using AI-assisted vibe coding tools and production-grade enterprise software engineering.
- Refactor and standardize raw AI-generated code into approved enterprise tech stacks (TypeScript, React/Next.js, Python/FastAPI, Node.js).
- Enforce architectural best practices by converting unstructured code into modular, maintainable microservices or compliant monoliths.
- Audit and optimize database schemas and queries for alignment with enterprise data standards (PostgreSQL, approved vector databases).
- Implement robust AI governance and safety guardrails, including data privacy (PII/PHI masking), RBAC, and prompt injection mitigation.
- Establish and maintain LLM evaluation and observability pipelines to monitor model drift, cost, latency, and hallucination rates.
- Standardize integration of LLM workflows, RAG pipelines, and agent frameworks using secure, approved APIs and models.




- Build and enforce automated CI/CD pipelines with mandatory governance gates (security scans, vulnerability checks, code linting).
- Manage containerized deployments (Docker, Kubernetes) and infrastructure-as-code (Terraform) for consistent cloud environments.
- Set up automated testing protocols (unit, integration, regression) to ensure vibe-coded applications meet production standards.
- Collaborate with business users to transition MVPs into production while maintaining strict IT governance and compliance.
- Develop and provide standardized templates, UI components, and architectural blueprints for business teams using vibe-coding tools.
- Ensure all applications adhere to enterprise security, compliance, and engineering standards throughout the development lifecycle.

📌 AI Software Engineer (Madrid)
🏢 INSIGHT INTERNATIONAL (UK
📍 Madrid