Summary
✨ AI‑Generated
A lead-level full-stack engineering role focused on building scalable, production-grade applications with advanced AI capabilities. You will own architecture, establish engineering standards, integrate large language models and agent workflows, shape DevOps practices, and mentor engineers.
Highlights
Own end-to-end architecture for production-grade applications while leading engineering standards and delivery. Work hands-on with modern full-stack technologies, advanced AI capabilities, scalable architecture, CI/CD, and technical mentoring.
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.
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 teachersWe cover it all:Monetary bonuses for engaging in the referral programMedical & family care packageSix trust days per year (sick leave without a medical certificate)Coverage of psychology sessions of your choiceDiscounts for fitness clubs and sports programsBenefits package (sports activities, a variety of stores and services)
Experience the freedom of remote work from anywhere in Kyrgyzstan, whether it's the comfort of your home or our modern office in Bishkek.
EPAM Kyrgyzstan is a team of technologists and innovators united by a passion for technology.
In 2022, we opened our first office in Bishkek that works with the world's leading companies across many different industries.
EPAM builds a continuously learning organization and helps its employees reach their full potential and achieve their professional goals through learning.
Our agile methodologies, client collaboration frameworks, engineering excellence programs, and hybrid teams offer many career paths and development opportunities.
