Summary
✨ AI‑Generated
Lead the architecture and delivery of complex, production-grade full-stack applications with integrated AI capabilities. Own system design, engineering standards, CI/CD, and technical decisions while building with React, Next.js, Node.js, and TypeScript and mentoring other engineers.
Highlights
Fully remote lead role with ownership of end-to-end architecture, AI-powered features, engineering standards, CI/CD, and complex production systems. Includes hands-on technical leadership and 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.
This is a fully remote position that offers you the flexibility to work from any location in Armenia, whether it's your home or well-equipped offices in Yerevan or Gyumri.
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 peopleDelivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growthLeadership 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 allParticipation in the Employee Stock Purchase PlanMonetary bonuses for engaging in the referral programComprehensive medical & family care packageFour trust days per year for personal needsDiscounts for fitness clubsBenefits package (hotels, restaurants, stores and services)
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups.
With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.