- 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

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📌 Ai and engineering content velocity (México)
🏢 Pentangle Tech Services | P5 Group
📍 México