• Design and implement scalable architectures for AI-enabled products • Define technical direction and make pragmatic technology decisions • Evaluate and improve AI system performance • Collaborate closely with stakeholders • Own delivery by breaking down complex initiatives • Lead by example through hands-on development

• Lead the design and evolution of LLM-powered chatbot architectures, including agent-based workflows, tool integrations, and context/memory strategies, ensuring high-quality, reliable, and cost-efficient AI systems. • Define technical direction and system architecture, promoting scalability, maintainability, and engineering best practices, while proactively identifying and mitigating risks. • Own delivery execution by structuring complex initiatives, aligning timelines, and coordinating engineering efforts to ensure consistent progress in dynamic environments. • Mentor and support engineers, providing technical guidance, unblocking challenges, and fostering a strong, high-performing engineering culture. • Collaborate closely with stakeholders to translate business needs into effective AI solutions, contributing to product roadmap, prioritization, and continuous improvement of user experience. • Drive innovation by exploring and validating new approaches in agent orchestration, prompt engineering, and AI system optimization, continuously improving performance, reliability, and efficiency.

• Help build scalable, AI-powered applications. • Work across backend and frontend, contributing to modern web development, LLM integrations, and conversational interfaces. • Collaborate closely with the Tech Lead and product team.

• Responsible for building the frontend and backend components of technological solutions. • Apply software design techniques and test-driven development (TDD). • Establish the overall structure for each architectural vision. • Define and create software solutions that meet functional and non-functional requirements. • Define and document the solution architecture. • Propose new technical standards and guidelines. • Implement code in languages appropriate to the project objectives. • Ensure that developed or maintained software is kept up to date. • Actively participate in ceremonies and meetings according to the agile development process. • Use source code version control systems and software release processes. • Create, execute, and interpret automated software tests. • Create, maintain, and understand logical and physical data modeling diagrams. • Install and configure development and testing environments.