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Cloud Native Python Engineer with AI Integration Focus

AT EPAM Systems
EPAM Systems

Cloud Native Python Engineer with AI Integration Focus

Zhezqazghan, Kazakhstan

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.
This position offers remote setup with the flexibility to work from any location in Kazakhstan, whether it's your home or well-equipped offices in Astana, Almaty or Karaganda.

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Responsibilities
  • Facilitate development and deployment of cloud-native solutions, highlighting AI integration in our project
  • Architect and launch AI-driven applications, leveraging Python frameworks such as Django, Flask or FastAPI
  • Integrate Large Language Models (LLM) and Retrieval Augmented Generation (RAG) into ongoing and upcoming projects to enhance language understanding and generation capabilities
  • Team up with various cross-functional teams to comprehend project objectives and convert them into AI-driven technical resolutions
  • Implement AI-based features and functionalities, utilizing cloud-native architectures and industry-standard practices
  • Write maintainable and well-documented code, adhering to coding standards and best practices
  • Stay 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 integration
  • Proficiency in cloud computing with hands-on experience in major cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Familiarity with Large Language Models (LLM) and Retrieval Augmented Generation (RAG)
  • Excellent problem-solving abilities and the capability to effectively collaborate within a team setting
  • Superior 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 impact
    • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
    • Opportunity to work abroad for up to two months per year
    • Relocation opportunities within our offices in 55+ countries
    • Corporate and social events
  • We invest in your growth: :
    • Leadership development, career advising, soft skills and well-being programs
    • Certifications, including GCP, Azure and AWS
    • Unlimited access to LinkedIn Learning, Get Abstract, O'Reilly
    • Free English classes with certified teachers
    • Discounts in local language schools, including online courses for the Kazakh language
  • We cover it all: :
    • Participation in the Employee Stock Purchase Plan
    • Monetary bonuses for engaging in the referral program
    • Medical & family care package
    • Six trust days per year (sick leave without a medical certificate)
    • Coverage of psychology sessions of your choice
    • Benefits package (sports activities, a variety of stores and services)
EPAM is a team of technologists and innovators united by a passion for technology. In Kazakhstan, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation.

Client-provided location(s): Kazakhstan
Job ID: EPAM-epamgdo_bltdae092523b87c979_en-us_Other_Kazakhstan
Employment Type: Other