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Senior AI Software Engineer

Role overview

Qualifications

  • 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

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

Key facts

Hard skills

Other skills

  • Problem Solving
  • Teamwork
  • Communication

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

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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

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