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Senior Python AI Software Engineer

Role overview

Qualifications

  • 3+ years of experience in Python development with a focus on AI-enabled applications
  • Expertise in machine learning
  • Skills in application modernization
  • Proficiency in AWS Bedrock, AWS Lambda, and Amazon API Gateway

Responsibilities

  • Architect and construct full-stack applications built on AWS serverless infrastructure
  • Build out AWS Lambda functions and Amazon API Gateway interfaces to execute application logic
  • Evaluate current application components and establish the target architecture for modernization
  • Guide and direct blended delivery teams

Key facts

  • Remote from: Ukraine, Europe, EMEA
  • Full time
  • Senior (5-10 years)
  • AI Engineer
  • English

Hard skills

Other skills

  • 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're looking for a Senior Python AI Software Engineer to develop AI-powered applications using AWS serverless technology, take ownership of end-to-end application architecture spanning Lambda and API Gateway, incorporate Amazon Bedrock for extracting and classifying content, and guide a mixed delivery team within a regulated healthcare and life sciences environment. Responsibilities Architect and construct full-stack applications built on AWS serverless infrastructure Build out AWS Lambda functions and Amazon API Gateway interfaces to execute application logic Evaluate current application components and establish the target architecture for modernization Construct content extraction and classification pipelines leveraging Amazon Bedrock foundation models Embed AI processing stages within application workflows so results flow into downstream business logic Confirm model output meets the accuracy standards required in a regulated setting Guide and direct blended delivery teams Deliver presentations on solution design, progress, and results to customer stakeholders Requirements 3+ years of experience in Python development with a focus on AI-enabled applications Expertise in machine learning Skills in application modernization Proficiency in AWS Bedrock, AWS Lambda, and Amazon API Gateway Knowledge of Amazon Web Services English proficiency at B2 level or higher Nice to have Experience with serverless architecture designs Prior exposure to artificial intelligence Familiarity with healthcare industry contexts

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