• Contributing code and tangible deliverables • Work as an advisor to help identify, educate, and foster best-in-class solutions • Write and maintain scalable enterprise-quality software while building a serverless cloud with Python • Identify new opportunities, tools, and services to enhance the custom software platform

• Develop, enhance, and maintain back-end applications. • Perform maintenance of existing systems, ensuring operation, fixes, and continuous improvements. • Work collaboratively with your team and other involved areas/stakeholders. • Participate in resolving day-to-day technical issues. • Contribute to technical solutions in a high-complexity environment within a financial ecosystem.

• Collaborate with other engineers through pairing sessions, code reviews, and knowledge sharing in our weekly Friday Dev Chats. • Mentor and lead junior engineers in software engineering methodology, design, and best practices. • Work with the product team and feature owners to understand requirements and see them through to execution and deployment.

• 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