ai engineer

EPAM Uzbekistan is a technology and innovation organization that established its first office in Tashkent in 2019, fostering a continuously learning culture that helps employees achieve professional goals through agile methodologies, client collaboration, and engineering excellence programs.

• Industrialize prototypes into production services on Azure using Azure AI Foundry and Azure OpenAI;
• Build agentic systems by selecting appropriate orchestration frameworks, RAG pipelines, vector DBs, knowledge graphs, and MCP-based tool integration;
• Build eval harnesses first, including golden sets, regression evals, and guardrail tests wired into CI;
• Engineer guardrails covering input/output filtering, grounding and citation, PII protection, rate limits, and human escalation paths;
• Deliver full stack services in Python and/or Java Spring Boot along with TypeScript/Angular front ends;
• Run production engineering end-to-end, covering CI/CD, observability with traces on every LLM call, cost and latency management, and model-version churn absorption;
• Build security and compliance in, respecting data classification boundaries in prompts, stores, and logs, externalizing secrets, and making every AI decision auditable;
• Iterate from real usage through hypercare, tuning, and fixes based on evidence, and package patterns for the next pod.

• 3+ Years of experience shipping LLM/agentic systems in production with real users, with a defined eval approach and scale;
• Proficiency in Python, Java Spring Boot and/or TypeScript/Angular;
• Expertise in Azure PaaS and Azure AI services;
• Skills in agentic frameworks, vector DBs, knowledge graphs, and MCP;
• Competency in prompt and context engineering;
• Background in CI/CD and observability, having operated what you built;
• Familiarity with daily AI-assisted engineering, coding with AI agents, and demonstrating the workflow live;
• English proficiency at B2 level or higher.

• Enjoyable working environment, whether in the vibrant office or at home;
• Opportunity to work abroad for up to two months per year;
• Relocation opportunities within 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 internal learning database;
• Free English classes with certified teachers;
• Discounts in local language schools, including offline courses for the Uzbek language;
• Monetary bonuses for engaging in the referral program;
• Medical & family care package;
• Four trust days per year (sick leave without a medical certificate);
• Discounts for fitness clubs, dance schools, and sports programs;
• Benefits package including sports activities, stores, and services.