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EPAM Systems

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Lead Java AI Engineer

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Description

We are seeking a highly skilled Lead Java AI Engineer to take ownership of a vertical slice of an AI-driven platform, ensuring seamless development, implementation, and optimization of AI-influenced features, workflows, and systems. This role requires a hands-on approach, an AI-first mindset, and the ability to deliver high-quality solutions in a fast-paced environment.

#LI-DNP

Responsibilities

  • Take full ownership of a feature set or product area, managing development from design to delivery
  • Work within the shared .claude/ environment, maintaining settings, skills, agents, and memory structures
  • Update and manage CLAUDE.md as the central project reference point
  • Contribute to TASKS.md to support iterative workflows and agile development
  • Enhance project-level AI skills such as /commit, /wrap, /merge-to-main, and /review
  • Extend agent memory capacity while adhering to design limits
  • Design and implement backend and frontend features and functionality
  • Build APIs, pipelines, and environments that align with architectural standards
  • Ensure consistency and quality in system architecture and design principles
  • Drive the creation of production-ready code using AI-enabled review tools
  • Optimize development processes and workflows with AI-assisted technologies

Requirements

  • Strong software engineering background with 5+ years of relevant experience
  • At least 1 year of relevant leadership experience
  • Expertise in Azure infrastructure, Git branching strategies, and CI/CD pipelines
  • Knowledge of AI-first development practices and AI agent frameworks, MCP, model-context tools
  • Proficiency in designing, implementing, and delivering fully owned vertical product slices
  • Competency in clean code principles, scalable architecture, and system optimization
  • Skills in gen AI-assisted development, prompt engineering, and workflow customization
  • Excellent command of written and spoken English (B2+ level)

Nice to have

  • Background in AI architecture
  • Familiarity with advanced AI integrations and frameworks
  • Capability to innovate AI-enriched platform features independently

Benefits

We connect like-minded people

  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events

We invest in your growth

  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to EPAM's internal learning database
  • Free English classes with certified teachers

We cover it all

  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Five trust days per year (sick leave without a medical certificate)
  • Benefits package (sports activities, a variety of stores and services)

Skills

What Lead AI Engineering jobs ask for — and how much of it you have →
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See also

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