AI and Engineering Content Velocity

Pentangle Tech Services | P5 Group; México; On-site; MXN 900,000 - 1,400,000; Full time

Job summary

Pentangle Tech Services | P5 Group in Mexico is seeking an accomplished software engineer to lead agentic AI integrations, cloud-native infra, and scalable backend services. You will design and implement AI workflows and high‑throughput APIs with Python and FastAPI, deployed across serverless environments.

You will mentor engineers, drive testing and code quality, and shape architecture using the C4 model. Experience with Terraform, CI/CD, and image/video processing is highly valued as the team

Qualifications

• 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

Responsibilities

• 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.
• Mentorship & Code Quality: Set the standard for engineering excellence; mentor senior and mid-level engineers; conduct architectural reviews.
• Cross-Stack Contribution: While heavily focused on backend and AI orchestration, apply 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.
• Event-Driven Architecture: Implement complex distributed workflows for high-volume job orchestration and dispatching (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.

Skills

AI/ML Integration

Cloud & Infrastructure

Backend Engineering

DevOps & SDLC

Architecture

Event-Driven Architecture

Mentorship & Code Quality

Domain Knowledge

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