Lead Full-Stack Engineer, AI-Driven Systems

Epam Systems — Uzbekistan · Posted ~1 day ago

Lead Remote Visa History ✓

Skills

React Next.js Node.js TypeScript AI/LLM integration agent-based workflows system design CI/CD DevOps event-driven architecture authentication data modeling caching technical leadership LLMs

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Summary ✨ AI‑Generated

Take technical ownership of complex, production-grade full-stack applications in an AI-focused engineering environment. You will lead architecture and system design, build AI-powered features using LLMs and agent workflows, establish strong CI/CD and DevOps practices, and guide engineering quality while remaining hands-on with modern web technologies.

Highlights

Remote flexibility across the country, strong architectural ownership, hands-on technical leadership, advanced AI integration, influence over engineering standards, and opportunities to mentor other engineers.

Description

We are looking for a Lead Full-Stack Engineer with deep expertise in AI-enabled systems to take ownership of architecture, engineering standards, and delivery of complex, production-grade applications. This role requires hands-on leadership, strong system design skills, and the ability to integrate advanced AI capabilities into scalable products. Experience the freedom of remote work from anywhere in Uzbekistan, whether it's the comfort of your home or our modern office in Tashkent. Responsibilities Own end-to-end architecture of full-stack applications (React, Next.js, Node.js, TypeScript) Lead design and implementation of AI-powered features including LLM integrations and agent-based workflows Define and enforce engineering standards, code quality and best practices Design robust CI/CD pipelines and DevOps processes Drive system design decisions across authentication, data modeling, caching and event-driven architecture Mentor engineers and lead code reviews Collaborate with product and business stakeholders to translate requirements into technical solutions Requirements 7+ years of full-stack development experience Expert-level proficiency in TypeScript, React, Node.js Strong experience designing distributed and scalable systems on AWS Deep experience with SQL/NoSQL databases and data modeling Proven experience designing and deploying AI-powered systems (LLMs, AI agents, automation workflows) Experience with Docker and CI/CD pipelines Experience with agentic systems and orchestration frameworks (e.g. LangGraph, PydanticAI) Strong understanding of prompt engineering, context management and evaluation pipelines Experience building MCP-based integrations or similar tool ecosystems Familiarity with AI observability, tracing and model evaluation tools Nice to have Kubernetes, Terraform or CloudFormation Experience with enterprise identity (OAuth2, OIDC) Experience building internal platforms or developer tools 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 teachersDiscounts in local language schools, including offline courses for the Uzbek languageWe cover it all:Monetary bonuses for engaging in the referral programMedical & family care packageFour trust days per year (sick leave without a medical certificate)Discounts for fitness clubs, dance schools and sports programsBenefits package (sports activities, a variety of stores and services) EPAM Uzbekistan is a team of technologists and innovators united by technology. In 2019, we opened our first office in Tashkent. Since then, we’ve built a continuously learning organization that helps its employees reach their full potential and achieve professional goals through learning. Our agile methodologies, client collaboration frameworks, engineering excellence programs, and hybrid teams offer many career paths and development opportunities.