Vacancy catalog
EPAM
Open role>14 days

Senior Python AI Software Engineer

EPAMUkraine
Work model
Remote
Experience
3+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
13 tags

Technology context

13

Parsed from the vacancy text; ordered by relevance to this role.

AIAWSFull StackMachine LearningPythonAPIAmazon API GatewayApplication ModernizationArtificial intelligenceAWS BedrockAWS LambdaHealthcareServerless

Full listing

Role description

We're looking for a Senior Python AI Software Engineer to develop AI-powered applications built on AWS serverless infrastructure. This role involves taking ownership of end-to-end application architecture using Lambda and API Gateway, working with Amazon Bedrock for content extraction and classification tasks, and guiding a mixed delivery team within a regulated healthcare and life sciences context.

Responsibilities

  • Architect and construct full-stack applications leveraging AWS serverless technology
  • Build AWS Lambda functions and configure Amazon API Gateway interfaces to power application logic
  • Evaluate current application components and establish a roadmap for modernized architecture
  • Create pipelines for content extraction and classification using Amazon Bedrock foundation models
  • Embed AI processing steps within application workflows to ensure outputs support downstream business logic
  • Confirm model outputs meet the accuracy standards required in a regulated setting
  • Guide and manage blended delivery teams
  • Deliver presentations on solution design, progress, and results to customer stakeholders

Requirements

  • At least 3 years of Python development experience with an emphasis on AI-driven applications
  • Strong background in machine learning
  • Experience with modernizing applications
  • Hands-on proficiency with AWS Bedrock, AWS Lambda, and Amazon API Gateway
  • Solid understanding of Amazon Web Services
  • B2-level English proficiency or above

Nice to have

  • Experience working with serverless architectures
  • Prior exposure to artificial intelligence projects
  • Familiarity with healthcare industry contexts