Ai Engineer (Ci/Cd & Productionization)

Avance Consulting; Chantada; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Avance Consulting busca un desarrollador full-stack con experiencia en producción de aplicaciones IA y estandarización de arquitecturas. Será responsable de refactorizar código generado por IA y asegurar que cumpla con estándares empresariales.

Debe dominar front-end moderno y back-end orientado a servicios, con capacidad para diseñar pipelines de gobernanza y seguridad. La posición requiere colaboración estrecha con usuarios y PMs para trasladar MVPs a producción, manteniendo cumplimiento IT y

Formación

• 3+ años de experiencia en desarrollo full-stack con aplicaciones IA en producción.
• Domina stack moderno front-end y back-end para aplicaciones empresariales.
• Experiencia con bases de datos relacionales y motores de búsqueda.
• Conocimientos en CI/CD, contenedores y plataformas en la nube.
• Experiencia con herramientas de gobernanza de IA y pipelines LLM.
• Capacidad de auditar código generado por herramientas de desarrollo AI.

Responsabilidades

• Producción y estandarización de la pila tecnológica para código generado por IA.
• Gobernanza de IA y guardrails de seguridad, RBAC, privacidad de datos y mitigación de prompt injection.
• Construcción de pipelines CI/CD con gates de gobernanza, pruebas automatizadas y control de versiones.
• Colaboración con usuarios y PMs para convertir MVPs en producción cumpliendo IT governance.
• Crear plantillas y componentes preaprobados para código generado por herramientas vibe.

Conocimientos

JavaScript/TypeScript

React/Next.js

Tailwind CSS

Python (FastAPI)

REST APIs

Async architecture

PostgreSQL

Elastic/OpenSearch

GitHub Actions

Docker

Terraform

AWS

LLM APIs

RAG patterns

Code auditing AI tools

Problem solving

Herramientas

GitHub Actions

Docker

Terraform

AWS

Descripción del empleo

Descripción del trabajo

Key Responsibilities Siga leyendo para descubrir lo que necesitará para tener éxito en este puesto, incluyendo habilidades, cualificaciones y experiencia.

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). xbhjioe


• 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.