We are hiring a Senior Software Engineer (AI Native) to drive end-to-end delivery in an AI-native setup where automation covers much of build, test, and deploy. You will translate requirements into precise specs, guide agentic workflows, and rigorously review AI-generated code for correctness and performance while setting data quality standards—apply now.
Responsibilities
-
Analyze requirements and select the appropriate data sources
-
Define data schema and data contracts, using tooling/plugins to generate schemas
-
Write clear specifications in Jira describing what needs to be implemented, feeding the AI-assisted code generation workflow
-
Review AI-generated code with strong technical judgment, validating performance, optimization, edge cases and correctness as the core of the role
-
Design and implement data quality checks
-
Deploy code through the automated pipeline
-
Communicate clearly with stakeholders and team members on requirements, technology and design
Requirements
-
At least 3 years of experience in software / data engineering
-
Proficiency in Scala, Java or Kotlin (Python alone is not sufficient)
-
Familiarity with AI tools such as Claude / Claude Code and experience building agentic workflows
-
Expertise in Spark and Iceberg
-
Strong code review skills, able to inspect generated code deeply and identify performance, optimization, and corner-case issues
-
Excellent analytical ability, comfortable scoping requirements, locating data sources, and defining data grain
-
Clear focus on the delivery lifecycle and automation more than development itself
-
Strong communication skills, both verbal and written
-
Ability to learn quickly and comfort with new technologies and challenging the status quo
-
Practical experience applying Agile/Scrum methodologies
-
English proficiency at B2 (Upper-Intermediate) level or higher
Nice to have
-
Familiarity with streaming technologies such as Kafka
-
Background in the e-commerce or travel industry
We offer
-
International projects with top brands
-
Work with global teams of highly skilled, diverse peers
-
Healthcare benefits
-
Employee financial programs
-
Paid time off and sick leave
-
Upskilling, reskilling and certification courses
-
Unlimited access to the LinkedIn Learning library and 22,000+ courses
-
Global career opportunities
-
Volunteer and community involvement opportunities
-
EPAM Employee Groups
-
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
