Logo for EPAM Systems

Lead AI Software Engineer

Role overview

Qualifications

  • Proven track record of 5+ years in software engineering with deep expertise in Python backend development
  • Demonstrated experience delivering production applications that use generative AI, large language models, and diffusion models
  • Hands-on experience with asynchronous backend frameworks such as FastAPI, plus cloud deployment on AWS or GCP
  • Solid background in automated testing, evaluation harnesses, and MLOps principles in Python

Responsibilities

  • 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, including image and video generation pipelines
  • Connect generation pipelines to custom Python-based evaluation harnesses to validate output quality prior to deployment
  • Deploy containerized workloads to cloud infrastructure using Infrastructure as Code

Key facts

Hard skills

Other skills

  • Problem Solving
  • Teamwork

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.

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

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. Responsibilities 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, including image and video generation pipelines Connect generation pipelines to custom Python-based evaluation harnesses to validate output quality prior to deployment Deploy containerized workloads to cloud infrastructure using Infrastructure as Code Contribute to daily Kanban discussions, backlog grooming, and rapid feature iteration with senior architecture leadership Deliver high-throughput generative AI content pipelines that reduce manual marketing asset creation time Ensure new model versions integrate into the automated Python evaluation harness with zero regression in output quality Maintain stable, containerized FastAPI microservices on cloud infrastructure with robust error handling Requirements Proven track record of 5+ years in software engineering with deep expertise in Python backend development Demonstrated experience delivering production applications that use generative AI, large language models, and diffusion models Hands-on experience with asynchronous backend frameworks such as FastAPI, plus cloud deployment on AWS or GCP Solid background in automated testing, evaluation harnesses, and MLOps principles in Python Strong proficiency with Python, FastAPI, and AWS or GCP Deep understanding of Generative AI and diffusion models, including LLMs and image/video generation Working knowledge of 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

Related jobs

See all AI Engineer jobs

Other jobs at EPAM Systems