Senior AI Software Engineer

EPAM Systems; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

EPAM Systems Inc. is seeking a hands-on Senior AI Software Engineer to design and scale automated content generation pipelines and marketing workflows.

You will integrate generative and diffusion models, connect them to Python-based evaluation harnesses, and ship production-ready microservices in a Kanban environment.

Qualifications

• 3+ years of software engineering experience with Python backend development.
• Proven production apps using generative AI, LLMs, and diffusion models.
• Hands-on with asynchronous frameworks like FastAPI and cloud deployments (AWS or GCP).
• Understanding of testing, evaluation harnesses, and MLOps in Python.
• Familiarity with CI/CD, Docker, and Git.

Responsibilities

• Design, build, and maintain scalable Python microservices using FastAPI for automated content and marketing material generation.
• Integrate and optimize diffusion models and multimodal generative AI tools and pipelines.
• Connect generation pipelines with Python-based evaluation harnesses to verify output quality before deployment.
• Deploy containerized workloads on cloud infrastructure using Infrastructure as Code.
• Participate in Kanban discussions, backlog grooming, and rapid feature iteration with architecture leadership.
• Deliver high-throughput generative AI content pipelines to reduce manual asset creation time.
• Ensure seamless integration of new model versions into the evaluation harness with no regression.
• Maintain reliable, containerized FastAPI microservices on cloud infrastructure with robust error handling.

Skills

Python

FastAPI

Generative AI

LLMs

Diffusion models

AWS

CI/CD

Docker

OpenCV

FFmpeg

Git

Terraform

Tools

Terraform

Job description

We are seeking a hands-on Senior AI Software Engineer to join our team. In this role, you will build and scale automated content generation pipelines and marketing material workflows. You will work closely with our architecture and AI teams, integrating generative and diffusion models while plugging directly into existing Python-based evaluation harnesses. We need a pragmatic builder who can dive into code, iterate rapidly in a Kanban environment, and ship production-ready generative AI microservices.

Responsibilities

• Design, build, and maintain scalable Python microservices using FastAPI for automated content and marketing material generation
• Integrate and optimize diffusion models and multimodal generative AI tools, including image and video generation pipelines
• Integrate generation pipelines with custom Python-based evaluation harnesses to ensure output quality before deployment
• Deploy containerized workloads on cloud infrastructure using Infrastructure as Code
• Participate in daily Kanban discussions, backlog grooming, and rapid-fire feature iteration alongside senior architecture leadership
• Deliver high-throughput generative AI content pipelines that reduce manual marketing asset creation time
• Ensure seamless integration of new model versions into the automated Python evaluation harness with zero regression in output quality
• Maintain reliable, containerized FastAPI microservices running smoothly on cloud infrastructure with robust error handling

Requirements

• 3+ years of software engineering experience with deep expertise in Python backend development
• Proven experience building production applications utilizing generative AI, large language models, and diffusion models
• Hands-on experience with asynchronous backend frameworks such as FastAPI, and cloud deployment on AWS or GCP
• Understanding of automated testing, evaluation harnesses, and MLOps principles in Python
• Proficiency in Python, FastAPI, and AWS or GCP
• Expertise in Generative AI and diffusion models, including LLMs and image/video generation
• Familiarity with CI/CD, Docker, and Git
• Nice to have Experience with Adobe Firefly or commercial creative generation APIs
• Familiarity with Terraform or other Infrastructure as Code tools
• Knowledge of Computer Vision libraries such as OpenCV and FFmpeg
• Background in Media & Entertainment or video supply chain