Lead Java AI Engineer

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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.

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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