• Design and implement LLM-powered onboarding assistants using Google/OpenAI/Anthropic models with deterministic orchestration (LangChain, LlamaIndex, custom pipelines) • Build RAG workflows using vector databases (Pinecone, Weaviate, Qdrant, pgvector) to inject contextual booking data into model prompts • Develop AI-driven configuration engines that translate natural language into structured booking primitives (services, schedules, resources, capacity, pricing rules) • Design optimization models for resource utilization, workload distribution, capacity forecasting, and conflict reduction • Integrate AI pipelines into backend systems using Node.js/TypeScript/Go services • Build scheduling-aware reasoning modules that handle constraints, buffers, lead times, resource availability, and business rules • Create scalable data pipelines for embeddings generation, context indexing, and model fine-tuning/hybrid retrieval • Implement latency-optimized inference orchestration with streaming responses, caching, and hybrid decision engines • Own the AI Runtime Layer enabling vertical-specific booking logic, plugins, actions, and smart suggestions • Lead and mentor the engineering team, enforce architectural standards, and drive long-term AI roadmap

• Develop, test, and deploy back-end services and APIs using Ruby on Rails, PostgreSQL, and other components in our stack. • Architect scalable solutions to handle high-volume data and transaction processing. • Maintain and optimize existing code to ensure the stability and performance of the platform. • Collaborate with front-end engineers, product managers, and other stakeholders to define, design, and ship new features. • Monitor production systems, resolve incidents, and implement improvements to prevent future issues. • Mentor junior developers and contribute to our culture of continuous learning and improvement. • Write clean, maintainable, and well-documented code, following best practices for software development.

• Actively participate in product development from conception through deployment and production monitoring; • Contribute to the design and evolution of our solutions, addressing performance and robustness requirements, among others; • Work on the development and maintenance of components for the new Exchange, Clearing and Self-Regulation systems; • Work with technologies: C#, SQL, Redis, Kafka, MongoDB.

• Writing well designed, reusable, testable and secure code by applying best software development practices • Designing and implementing low-latency, high-availability and performant applications • Architecting well defined APIs for user facing elements developed by front end developers • Collaborating in a multi-disciplinary team • Participating and conducting code reviews • Discovering, learning and implementing new technologies • Mentoring junior team members in best practices