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Lead Full-Stack Engineer (AI-Driven Systems)

Role overview

Qualifications

  • 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

Responsibilities

  • Own end-to-end architecture of full-stack applications
  • Lead design and implementation of AI-powered features
  • Define and enforce engineering standards, code quality and best practices
  • Design robust CI/CD pipelines and DevOps processes

Key facts

Hard skills

Other skills

  • Leadership
  • Mentorship
  • Collaboration

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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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

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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