Python GenAI Engineer

EPAM Systems, Inc.
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Artificial Intelligence
Airflow
Azure
Continuous Integration
Data Infrastructure
Distributed Systems
Github
Python
Next.js
SignalR
SQL Stored Procedures
Web Application Frameworks
Web Services
Amazon Web Services (AWS)
Data Processing
.NET Core
Spring Cloud
GitHub Copilot
Snowflake
Generative AI
Infrastructure as Code (IaC)
FastAPI
Pandas
Data Lake
Angular
Infrastructure Automation Frameworks
Star Schema
Bicep
Front End Software Development
Streamlit Framework
Terraform
Data Pipelines
Legacy Systems

Job description

We are looking for a highly skilled Senior Python Engineer to join a fast-paced, innovative team working on modern data platforms and AI-driven solutions. You will play a key role in designing scalable data pipelines, building cloud-native applications, and leveraging GenAI tools to accelerate development. Responsibilities Design and develop scalable web services and background jobs using FastAPI Build and optimize data processing and reporting solutions Develop and maintain robust data pipelines and architectures Work with modern cloud platforms (primarily Azure) to deploy and manage applications Implement CI/CD pipelines and automation processes Apply Infrastructure as Code (IaC) practices for scalable environments Leverage AI-assisted development tools (e.g., Copilot) for spec-driven development Requirements Strong Python experience (5+ years in production) Hands-on experience with web frameworks (FastAPI preferred) Experience with data processing tools: Pandas, Polars, openpyxl

Requirements

DuckDB Solid understanding of data pipeline design (data lakes, medallion architecture, star schema) Experience with CI/CD tools (e.g., GitHub Actions) Experience with Azure services (Container Apps, Storage, Service Bus, SignalR) Experience with IaC tools (Bicep, Terraform, or AWS CDK) Familiarity with AI-assisted development tools (e.g., GitHub Copilot) Nice to have Experience with Airflow, dbt, Streamlit Distributed systems and async workflows Enterprise messaging patterns Experience with Snowflake (stored procedures, streams, tasks, pipes, time travel) .NET Core experience (legacy systems support) Frontend experience (Angular or Next.js)

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