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
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📌 Ai Engineer Content Velocity (México)
🏢 Pentangle Tech Services | P5 Group
📍 México