remotely.living

Lead Full-Stack Engineer (AI-Driven Systems)

EPAM Systems · Remote - Kazakhstan / Uzbekistan / Armenia / Georgia / Kyrgyzstan / Belarus · 2026-09-29

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Job 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