Key Responsibilities 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 production while enforcing strict IT governance and compliance guidelines. Create and distribute standardized "paved road" templates, pre-approved UI components, and architectural blueprints for business teams using vibe-coding tools to ensure cleaner, compliant upstream code generation. Qualifications & Requirements Experience:

3+ years of professional full-stack development experience, with a proven track record of shipping production AI applications and enforcing engineering standards. Standardized Stack Proficiency: Front-end:

Modern JavaScript/TypeScript, React, Next.js, Tailwind CSS. Back-end:

Python (FastAPI), REST APIs, async architecture. Data:

Relational SQL (PostgreSQL), Elastic Search/Opensearch CI/CD & Infrastructure:

Deep practical experience with CI/CD platforms (GitHub Actions), Docker, serverless/cloud platforms(AWS is a must.) CI/CD & Infrastructure:

Deep practical experience with CI/CD platforms (GitHub Actions), Docker, serverless/cloud platforms, and IaC (Terraform). AI Governance & Tooling:

Hands-on experience with LLM APIs, embedding models, RAG patterns, and a strong understanding of how to audit code generated by developer tools like Cursor, Claude Engineer, or Vercel AI SDK. Problem-Solving Mindset:

Exceptional ability to decipher, evaluate, and restructure unstructured code written by AI agents or non-technical builders into compliant enterprise formats.

📌 AI Engineer (CI/CD & Productionization) (Valencia)
🏢 Avance Consulting
📍 Valencia