Overview

We are looking for a hands-on Senior AI Engineer with strong production experience on AWS to design, build, deploy, and support AI/ML solutions across the full software development lifecycle. The ideal candidate has successfully delivered enterprise-grade AI products and has hands-on ownership of AI agents and Gen AI solutions in production environments.

Responsibilities:
  • Design, build, and deploy AI/ML solutions across the full software development lifecycle
  • Develop and implement AI agents and Gen AI solutions for enterprise-grade use cases
  • Own AI solutions end-to-end, from model development and deployment to monitoring and support
  • Integrate AI capabilities into business applications and data products
  • Work with large-scale data to build and support production AI workloads
  • Optimize AI models and pipelines for performance, scalability, and cost efficiency
  • Manage model governance, versioning, and lifecycle using MLflow
  • Collaborate with cross-functional teams to ensure AI solutions meet business and technical requirements
  • Monitor and maintain AI solutions in production, ensuring reliability and performance
Required Qualifications:
  • 5+ years of experience in AI/ML engineering, with a focus on production-grade solutions
  • Expertise in AI agents development and Gen AI solutions development
  • Proficiency in Amazon Web Services
  • Skills in MLflow, Feature Store, and Model Serving
  • Knowledge of Lakehouse AI and Unity Catalog
  • Background in integrating AI capabilities into business applications and data products
  • Understanding of large-scale data processing and production AI workload management
  • English proficiency at B2 level or higher
Benefits:
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to EPAM's internal learning database
  • Free English classes with certified teachers
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Four trust days per year for personal needs
  • Discounts for fitness clubs
  • Benefits package (hotels, restaurants, stores and services)
Nice To Have:
  • Familiarity with AWS Bedrock
Skills:
  • AI Solution Engineering
Note:

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