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Lead AI Python Engineer

Role overview

Qualifications

  • Expertise in software development with Senior- to Architect-level experience
  • Background in Python frameworks like Django, Flask, and FastAPI
  • Competency in Generative AI with proven production experience in prompt engineering
  • Proficiency in AWS, Azure, or Google Cloud Platform

Responsibilities

  • Design AI-driven applications with Python frameworks such as Django, Flask, or FastAPI
  • Architect scalable cloud-based infrastructures for AI solutions
  • Deploy optimized Large Language Models (LLMs) and Generative AI features into production-level systems
  • Translate business needs into robust AI solutions through collaboration with cross-functional teams

Key facts

Hard skills

Other skills

  • Problem Solving
  • Teamwork
  • Communication

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

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.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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Job description

EPAM is looking for an experienced Lead Python Engineer to join our Python AI Competence Center. In this role, you will solve advanced technical challenges, drive innovation in Generative AI, and deliver advanced AI-powered solutions across client projects and in-house product pipelines. Responsibilities Design AI-driven applications with Python frameworks such as Django, Flask, or FastAPI Architect scalable cloud-based infrastructures for AI solutions Deploy optimized Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and Generative AI features into production-level systems Translate business needs into robust AI solutions through collaboration with cross-functional teams Solve complex problems across technical, infrastructural, and production environments Write well-documented, high-quality code compliant with industry standards Adopt emerging technologies in Python, cloud platforms, and AI practices to advance innovation in development Requirements Expertise in software development with Senior- to Architect-level experience, ensuring hands-on coding and implementation proficiency Background in Python frameworks like Django, Flask, and FastAPI, as well as practical integration of AI functionalities Competency in Generative AI with proven production experience in prompt engineering and fine-tuning models Understanding of Large Language Models and Retrieval Augmented Generation Proficiency in AWS, Azure, or Google Cloud Platform with hands-on implementation of cloud solutions Strong problem-solving capabilities paired with collaborative teamwork experience Excellent communication ability to articulate technical ideas effectively to diverse audiences Passion for advancing in Generative AI and contributing to organizational and client AI projects Nice to have Experience with Kubernetes, Docker, and microservices in Cloud Native architectures

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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