Data scientist for AI solutions

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• Develop AI Agents on modern LLM frameworks for analytics assistants, automation and decision support, including engineering prompts, tools, memory and orchestration logic for reliable agent behavior
• Integrate AI Agents with internal data sources, APIs and enterprise applications
• Contribute to the internal platform that hosts, deploys and monitors AI Agents, and build reusable components for orchestration, evaluation, observability and governance
• Design and develop end-to-end data applications, tools and interfaces in Python and React / JavaScript, including APIs, dashboards and interactive interfaces that bring advanced analytics to business users
• Develop advanced analytical models and Power BI deliverables, and define standards and templates that improve consistency and reuse
• Design and maintain ETL/ELT pipelines that prepare, transform and deliver high-quality data for AI and analytics workloads
• Deploy and operate AI solutions on cloud and hybrid infrastructure, making effective use of managed AI, compute and storage services
• Support CI/CD pipelines for AI agents and data applications
• Communicate with internal customers and business teams to gather requirements and feedback and to support adoption of AI solutions

• 2-4 years of experience in similar roles (AI Engineer, ML Engineer, Data Engineer), including hands-on experience delivering AI or data solutions to production
• Proficiency in Python
• Expertise in React, JavaScript and TypeScript for frontend development
• Skills in writing performant SQL on relational and analytical databases
• Experience building and consuming REST APIs, working with Git and following modern software engineering practices
• Understanding of data architecture concepts, including data warehousing, data lakes and ETL/ELT
• Experience with Power BI, including data modeling and report development
• English proficiency at B2 level or higher
• Будет плюсом: Familiarity with LLM and agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel or AutoGen; Experience with vector databases

• 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
• 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
• Discounts in local language schools, including online courses for the Kazakh language
• 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)
• Housing support program: preferential mortgage access via Otbasy Bank partnership