Key Responsibilities
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1. App Productionization & Stack Standardization
Map and refactor raw AI-generated code into our standardized enterprise tech stack (e.g., TypeScript, React/Next.js, Python/FastAPI, Node.js), eliminating unsupported or niche libraries introduced by AI tools.
Enforce architectural standards by restructuring unstructured code into modular, maintainable microservices or enterprise-approved monoliths.
Audit and optimize database schemas and queries, ensuring alignment with standardized data engineering practices (PostgreSQL, approved Vector DBs).
2. AI Governance & Enterprise Guardrails
Implement strict production-grade guardrails for AI safety, enforcing data privacy (PII/PHI masking), Role-Based Access Control (RBAC), and prompt injection mitigation.
Establish and standardize LLM Evaluation (LLMOps) and observability pipelines (e.g., LangSmith, Phoenix) to continuously monitor model drift,



cost-governance ceilings, latency, and hallucination rates.
Standardize the integration of LLM workflows, RAG pipelines, and agent frameworks to ensure all business apps use approved, secured API gateways and foundational models.
3. CI/CD, DevOps & Automated Compliance
Build and mandate automated CI/CD pipelines (GitHub Actions, GitLab CI) that include mandatory governance gates: SAST/DAST security scans, dependency vulnerability checks, and automated linting for code standardization.
Manage standardized, containerized deployments (Docker, Kubernetes) and infrastructure-as-code (Terraform) to ensure consistent cloud environments.
Set up automated unit, integration, and regression testing protocols that vibe-coded applications must pass prior to production release.
4. Developer Governance & "Paved Roads"
Collaborate with business users and product managers to transition vibe-coded MVPs into pro

📌 AI Engineer (Aldea de Arriba)
🏢 Avance Consulting
📍 Aldea de Arriba