Summary
✨ AI‑Generated
A cloud-native Python engineering role focused on embedding AI capabilities into modern applications. You will design and deploy AI-driven solutions with Python frameworks, integrate LLM and RAG technologies, and collaborate with cross-functional teams to turn business needs into technical solutions.
Highlights
Cloud-native Python engineering role centered on integrating modern AI capabilities into applications. The position combines application architecture, LLM and RAG integration, cloud deployment, and cross-functional collaboration.
Description
We seek a highly skilled Python Engineer with expertise in cloud computing and a strong focus on integrating AI capabilities into our projects.
The ideal candidate will possess robust proficiency in Python and its frameworks, coupled with a deep understanding of at least one major cloud provider.
Additionally, familiarity with Large Language Models (LLM) and Retrieval Augmented Generation (RAG) is essential for seamlessly integrating AI capabilities.
Responsibilities
Facilitate development and deployment of cloud-native solutions, highlighting AI integration in our projectArchitect and launch AI-driven applications, leveraging Python frameworks such as Django, Flask or FastAPIIntegrate Large Language Models (LLM) and Retrieval Augmented Generation (RAG) into ongoing and upcoming projects to enhance language understanding and generation capabilitiesTeam up with various cross-functional teams to comprehend project objectives and convert them into AI-driven technical resolutionsImplement AI-based features and functionalities, utilizing cloud-native architectures and industry-standard practicesWrite maintainable and well-documented code, adhering to coding standards and best practicesStay updated with the latest advancements in Python, cloud computing, AI, and Cloud Native architectures, and proactively suggest innovative solutions to enhance our AI capabilities
Requirements
Proven expertise in Python programming language, with significant experience in AI integrationProficiency in cloud computing with hands-on experience in major cloud platforms such as AWS, Azure, or Google Cloud PlatformFamiliarity with Large Language Models (LLM) and Retrieval Augmented Generation (RAG)Excellent problem-solving abilities and the capability to effectively collaborate within a team settingSuperior communication skills and the competence to seamlessly explain complex technical concepts to non-technical stakeholders
Nice to have
Knowledge of Cloud Native architectures and experience with tools like Kubernetes, Docker and microservices
We offer
We connect like-minded people:Delivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your own homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growth:Leadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to EPAM's internal learning databaseFree English classes with certified teachersWe cover it all:Monetary bonuses for engaging in the referral programMedical & family care packageSix trust days per year (sick leave without a medical certificate)Coverage of psychology sessions of your choiceDiscounts for fitness clubs and sports programsBenefits package (sports activities, a variety of stores and services)
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups.
With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.
Experience the freedom of remote work from anywhere in Kyrgyzstan, whether it's the comfort of your home or our modern office in Bishkek.
