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Lead Java AI Engineer

Remote in Georgia
Java& 4 others
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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