:

·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

📌 AI and Engineering Content Velocity (México)
🏢 pentangle tech services
📍 México