Data scientist for AI agents

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• Build AI Agents using modern LLM frameworks to support analytics assistance, automation, and decision-making, covering prompt engineering, tool integration, memory handling, and orchestration logic for dependable agent performance
• Connect AI Agents to internal data sources, APIs, and enterprise systems
• Help build the internal platform used to host, deploy, and monitor AI Agents, while creating reusable modules for orchestration, evaluation, observability, and governance
• Create complete data applications, tools, and interfaces using Python and React/JavaScript, including APIs, dashboards, and interactive tools that deliver advanced analytics to business users
• Build advanced analytical models and Power BI outputs, while establishing standards and templates that promote consistency and reusability
• Develop and maintain ETL/ELT pipelines that process and deliver reliable data for AI and analytics purposes
• Implement and manage AI solutions across cloud and hybrid environments, leveraging managed AI, compute, and storage resources effectively
• Assist in maintaining CI/CD pipelines for AI agents and data applications
• Engage with internal stakeholders and business teams to collect requirements, gather feedback, and encourage adoption of AI solutions

• At least 5 years of experience in related positions (AI Engineer, ML Engineer, Data Engineer), with practical experience delivering AI or data solutions into production
• Strong proficiency in Python
• Advanced skills in React, JavaScript, and TypeScript for front-end development
• Capability to write efficient SQL queries for relational and analytical databases
• Hands-on experience developing and consuming REST APIs, using Git, and applying modern software engineering standards
• Solid grasp of data architecture principles, including data warehousing, data lakes, and ETL/ELT processes
• Practical experience with Power BI, covering data modeling and report creation
• English language skills at a B2 level or above
• Будет плюсом: Knowledge of LLM and agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or AutoGen; Exposure to vector database technologies

• 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