Key Responsibilities

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- 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).

- 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.

- 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.

- 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). xugodme

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) (Madrid)
🏢 Avance Consulting
📍 Madrid