AI Engineer Content Velocity

Pentangle Tech Services | P5 Group; México; Presencial; MXN 1.200.000 - 2.000.000; Jornada completa

Descripción de la vacante

Pentangle Tech Services | P5 Group is seeking an experienced AI and engineering leader to expand agentic AI workflows, integrate LLMs/VLMs, and build scalable backend systems using Python and FastAPI.

You will own infrastructure as code, oversee CI/CD pipelines, mentor engineers, and shape architectural decisions across cloud environments. A strong emphasis on testing, code quality, and responsible AI evals is required.

Formación

• 8+ years of professional software engineering experience with at least 2+ years in a technical leadership or principal-level capacity.
• Proven experience building agentic workflows, prompt engineering, integrating LLMs/VLMs into production systems, and utilizing AI evaluation frameworks.
• Deep, hands-on expertise with AWS, Azure, and/or GCP serverless architectures.
• Python proficiency; build high-throughput APIs with FastAPI; migrations; async/multiprocessing.
• Knowledge of Terraform IaC and CI/CD pipelines (e.g. GHA).
• Familiarity with image and video processing libraries; visual rendering workflows desirable.
• Strong experience with the C4 model and traditional design artifacts

Responsabilidades

• Agentic AI Development: Expand core AIHarnesses and pipelines; integrate and evaluate LLMs, VLMs, and APIs.
• Infrastructure & DevOps: Oversee IaC across environments; maintain and optimize CI/CD pipelines.
• Mentorship & Code Quality: Set standards; mentor engineers; conduct architectural reviews; ensure testing.
• Cross-Stack Contribution: Apply knowledge of theories, practices and design matters.
• Service Development: Build and maintain scalable backend microservices using Python and FastAPI.
• AI Tooling & Integrations: Develop tools and guardrails; integrate AI endpoints.
• Event-Driven Architecture: Implement distributed workflows for high-volume orchestration.
• Infrastructure as Code: Terraform contributions across resources.
• Full-Stack Contribution: Contribute to modern backend orchestration or web frontends.
• Testing & CI/CD: Write robust tests for APIs and AI outputs.

Conocimientos

AI/ML integration

Cloud & infra

Backend engineering

DevOps & SDLC

Image/video domain

C4 architecture

Principal leadership

Descripción del empleo

Job Title: AI and Engineering Content Velocity

Job Description:

• Agentic AI Development: Expand our core AI harnesses and pipelines. Integrate and evaluate state-of-the-art LLMs, Vision-Language Models (VLMs), and specialized APIs to autonomously manipulate various asset formats.
• Infrastructure & DevOps: Oversee and improve our Infrastructure as Code across all environments. Maintain and optimize CI/CD pipelines (Docker/Container Registry deployments).
• Mentorship & Code Quality: Set the standard for engineering excellence. Mentor senior and mid-level engineers, conduct rigorous architectural reviews, and maintain high standards for testing and AI evals.
• Cross-Stack Contribution: While heavily focused on backend and AI orchestration, Applies extensive knowledge of theories, practices and design matters.
• Service Development: Build and maintain scalable backend microservices using Python and FastAPI, deployed as varying serverless infrastructure.
• AI Tooling & Integrations: Develop tools, constraints (guardrails), and deterministic functions that our AI agents use to edit visual assets. Integrate models on owned infrastructure for inference and integrate third-party AI endpoints.
• Event-Driven Architecture: Implement complex distributed workflows for high-volume job orchestration and dispatching (e.g. EventBridge, queues, DynamoDB streams).
• Infrastructure as Code: Terraform contributions to provision and mange cloud resources safely and effectively across multiple environments.
• Full-Stack Contribution: Contribute to our modern backend orchestration or modern web frontends.
• Testing & CI/CD: Write robust unit and end-to-end tests to ensure the stability of both standard APIs and AI agent outputs, ensuring smooth deployments.

Qualifications & Skills:

• Experience: 8+ years of professional software engineering experience with at least 2+ years in a technical leadership or principal-level capacity.
• AI/ML Integration: Proven experience building agentic workflows, prompt engineering, integrating LLMs/VLMs into production systems, and utilizing AI evaluation frameworks.
• Cloud & Infrastructure: Deep, hands-on expertise with AWS, Azure, and/or GCP serverless architectures.
• Backend Engineering: Expert-level Python proficiency. Experience building high-throughput APIs using FastAPI, managing database migrations, and handling async/multiprocessing workflows.
• DevOps & SDLC: Knowledge of Terraform IaC and CI/CD pipelines (e.g. GHA).
• Domain Knowledge: Familiarity with image and video processing libraries. Visual rendering workflows is highly desirable.
• Architecture: Strong experience with the C4 model and other traditional design artifacts