Lead AI Software Engineer

EPAM Systems, Inc.; México; A distancia; MXN 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off and sick leave

Upskilling and certification courses

Descripción de la vacante

EPAM Systems, Inc. is seeking a Lead AI Software Engineer to deliver scalable Python microservices for automated content generation and marketing workflows. You will integrate generative and diffusion models and deploy containerized services on AWS in a fast-moving Kanban environment.

You will drive the optimization of diffusion models, connect pipelines to Python evaluation harnesses, and ensure robust, high-throughput AI workflows with zero regression across model updates.

Formación

• 5+ years of software engineering with Python backend
• Experience delivering production apps using generative AI, LLMs, and diffusion models
• Hands-on with asynchronous backends like FastAPI and cloud deployment (AWS or GCP)
• Strong Python, FastAPI, and cloud deployment skills (AWS or GCP)
• Knowledge of CI/CD, Docker, and Git workflows
• MLOps principles in Python and model evaluation pipelines

Responsabilidades

• Design, implement, and maintain scalable Python microservices with FastAPI for automated content and marketing material generation
• Optimize and integrate diffusion models and multimodal generative AI tooling
• Connect generation pipelines to Python-based evaluation harnesses to validate output quality
• Deploy containerized workloads to cloud infrastructure using Infrastructure as Code
• Contribute to Kanban discussions, backlog grooming, and rapid feature iteration with architecture leadership
• Deliver high-throughput generative AI pipelines that reduce manual marketing asset creation time
• Ensure model versions integrate into automated evaluation harnesses with zero regression

Conocimientos

Python backend

FastAPI

Generative AI

Diffusion models

AWS

GCP

CI/CD

Docker

Git

MLOps

Herramientas

OpenCV

FFmpeg

Docker

Git

Terraform

Descripción del empleo

We are building a Lead AI Software Engineer role to deliver scalable Python microservices that automate content generation and marketing workflows. You will integrate generative and diffusion models, connect outputs to Python evaluation harnesses, and deploy containerized services on AWS in a fast-moving Kanban setup. Apply now to help ship reliable generative AI pipelines to production.ResponsibilitiesDesign, implement, and maintain scalable Python microservices with FastAPI for automated content and marketing material generationOptimize and integrate diffusion models and multimodal generative AI tooling, including image and video generation pipelinesConnect generation pipelines to custom Python-based evaluation harnesses to validate output quality prior to deploymentDeploy containerized workloads to cloud infrastructure using Infrastructure as CodeContribute to daily Kanban discussions, backlog grooming, and rapid feature iteration with senior architecture leadershipDeliver high-throughput generative AI content pipelines that reduce manual marketing asset creation timeEnsure new model versions integrate into the automated Python evaluation harness with zero regression in output qualityMaintain stable, containerized FastAPI microservices on cloud infrastructure with robust error handlingRequirementsProven track record of 5+ years in software engineering with deep expertise in Python backend developmentDemonstrated experience delivering production applications that use generative AI, large language models, and diffusion modelsHands-on experience with asynchronous backend frameworks such as FastAPI, plus cloud deployment on AWS or GCPSolid background in automated testing, evaluation harnesses, and MLOps principles in PythonStrong proficiency with Python, FastAPI, and AWS or GCPDeep understanding of Generative AI and diffusion models, including LLMs and image/video generationWorking knowledge of CI/CD, Docker, and GitNice to haveExperience with Adobe Firefly or commercial creative generation APIsFamiliarity with Terraform or other Infrastructure as Code toolsKnowledge of Computer Vision libraries such as OpenCV and FFmpegBackground in Media & Entertainment or video supply chainWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.