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 & Dev Ops: 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 Fast API, 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. Event Bridge, queues, Dynamo DB 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 Fast API, managing database migrations, and handling async/multiprocessing workflows. Dev Ops & SDLC: Knowledge of Terraform Ia C 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 #J-18808-Ljbffr

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