Lead Full Stack Engineer - JavaScript/Node.js

- Design, develop, and maintain full stack applications spanning frontend interfaces to backend services, APIs, and data integration. - Make strategic architectural decisions that align speed, scalability, and maintainability with practical solutions that can be shipped. - Take ownership of the entire development lifecycle: from requirement gathering to design, implementation, testing, deployment, and monitoring. - Establish and promote engineering standards, methodologies, and practices for the team, including code reviews, testing, CI/CD, and documentation. - Manage and enhance the infrastructure and deployment pipeline, including cloud resources, containerization, and environment management. - Develop and maintain essential client-facing applications, portals, and tools that are fundamental to the services we provide. - Convert client and business specifications into well-crafted, reliable user experiences that display data and insights in actionable formats. - Integrate with marketplace APIs, advertising platforms, and third-party services to enhance client functionalities and reporting. - Ensure that client-facing offerings are high-performing, secure, and polished to meet professional services standards. - Create and implement AI agents that streamline client-facing processes—like marketplace monitoring, listing optimization, competitive analysis, or automated reporting—to enhance speed and accuracy while reducing manual effort. - Develop and refine internal tools and platforms that boost the efficiency of our strategy, advertising, analytics, and operations teams. - Identify and rectify manual or repetitive workflows by developing software solutions that minimize friction and errors. - Establish internal APIs and services that connect data, automate processes, and facilitate self-service for non-technical members. - Collaborate with various stakeholders to prioritize internal tooling projects that yield the most significant operational impact. - Create internal AI agents to manage repetitive operational tasks, freeing team members to focus on more valuable work. - Utilize AI-assisted development tools throughout the engineering process—from coding and testing to generating documentation and debugging. - Design and develop AI agents that can operate independently or semi-independently across various APIs and tools to accomplish multi-step tasks with the necessary human oversight. - Architect and implement agent infrastructure including orchestration, tool usage, context and memory management, error handling, and observability for agent workflows. - Create and maintain integrations with LLM APIs and AI services that provide the foundation for agent capabilities and AI-powered features. - Develop reusable frameworks and patterns for agent deployment applicable to both client-facing and internal use cases. - Evaluate new AI agent frameworks and tools, providing practical recommendations for their adoption or exclusion.