Jobs at LAI International

Design, build, and maintain front-end and back-end systems; collaborate with product and design teams; ensure UI/UX feasibility, security, performance, and scalability; perform debugging, code reviews, documentation, and infrastructure/hosting management.

Senior full‑stack engineer responsible for building and maintaining front-end and back-end systems, collaborating with product and design, ensuring UI/UX feasibility, performance and security, troubleshooting and upgrading software, participating in code reviews, maintaining documentation, and managing hosting, databases, and scalability.

Design and build user-facing web interfaces from mockups using HTML, CSS, and JavaScript. Implement interactive features, ensure responsive and accessible cross-browser experiences, optimize performance, test and debug code, maintain existing applications, and collaborate with back-end developers for integration.

Design, build, and maintain server-side applications, databases, and APIs; optimize performance and scalability; implement security measures; collaborate with frontend and product teams; troubleshoot and debug; stay current with emerging backend technologies.

Bridge product vision and technical implementation by developing features, troubleshooting, testing, and collaborating with product, design, and engineering teams. Contribute to product strategy, roadmaps, and continuous improvement, potentially involving ML, data pipelines, and cloud infrastructure.

Build and maintain user-facing web interfaces by translating designs into HTML, CSS, and JavaScript. Implement interactive features, ensure responsive and cross-browser compatibility, optimize performance, test and debug code, collaborate with back-end developers for integration, and maintain existing applications while following accessibility and front-end best practices.

Design, implement, and optimize machine learning and deep learning models; preprocess and analyze large datasets; integrate models into production; monitor and maintain model performance; collaborate with engineers and stakeholders; stay current with ML/AI advances.

Design, implement, and optimize machine learning and deep learning models; preprocess and prepare large datasets; integrate models into production with software engineers; monitor and maintain production model performance; troubleshoot issues; and collaborate with stakeholders while staying current on ML/AI advances.

Manage and grow affiliate partnerships, pull and present performance reports, design commission and attribution strategies, optimize workflows, handle day-to-day affiliate network tasks, and train junior team members to improve performance across client portfolios.

Design, build, and maintain server-side systems including databases and APIs. Optimize performance, ensure security, troubleshoot issues, and collaborate with front-end and product teams while staying current on technologies.

Design and run experiments to evaluate LLM behavior across reasoning, style, robustness, and user preferences. Develop new metrics and evaluation protocols, analyze large-scale human voting/interaction data, prototype research ideas, collaborate with engineers to productionize findings, and publish internal and external research.

Provide first-line support for the Brokerage support ecosystem (Front, Zendesk, Genesys Cloud), diagnose and resolve user and system issues, maintain integrations and automation using SQL and Python, manage tickets and escalations, update documentation, and collaborate with cross-functional teams to improve system reliability.

Lead and optimize multi-channel paid media (SEM, paid social, display, programmatic). Manage a small team, build client relationships, analyze performance, refine processes, and collaborate cross-region to meet campaign objectives.