• Trabaja en DaCodes! Somos una firma de expertos en software y transformación digital de alto impacto. • Tendrás la oportunidad de impulsar tu desarrollo profesional, trabajar en diversos proyectos y contribuir a soluciones digitales de organizaciones globales. • Equipo de TI internacional de una organización global busca un(a) Senior Full Stack Developer para construir aplicaciones web modernas, escalables y basadas en la nube. • Trabajando todo el ciclo de desarrollo: diseño, implementación, resolución de incidentes y mejora continua, en colaboración directa con equipos técnicos del cliente y DevOps, en un entorno ágil.

• Contribute across all three backend systems: Search, Integrations, and Bookings • Build and maintain business logic for the Partner API integration layer • Handle cross-team requests from Pricing, FinTech, Content, and Data — clarifying scope, driving to solutions • Partner closely with the PM, frontend lodging team, and supplier integrations lead • Own projects end to end: surface blockers, keep things moving, deliver

• AI / Machine Learning Research, design, and deploy machine learning models across NLP, time-series forecasting, and event detection domains • Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for financial news and quantitative data • Develop model serving APIs and scalable inference layers using Go or Python • Implement model monitoring, drift detection, and continuous retraining pipelines • Work with financial text (earnings call transcripts, filings, news) to extract structured insights • Collaborate with data engineers to build training datasets, feature stores, and embedding databases • Backend & Infrastructure Develop and maintain high-performance Python or Go microservices that integrate with AI systems and Go data APIs • Design and optimize real-time inference pipelines on AWS, leveraging ECS/EKS, S3, and Lambda • Ensure low-latency, fault-tolerant, and scalable delivery of AI-powered data • Implement CI/CD for ML workflows, including containerization, automated deployment, and versioning • Partner with DevOps to manage cloud infrastructure and ensure robust observability for AI workloads

• Own and ship the backend product work that brings ClickUp's AI-driven experiences to life, ensuring the features our users interact with are fast, reliable, and well-architected. • Ship backend product features that power AI-driven user experiences at scale: agent interactions, intelligent workflows, and context-aware product capabilities. • Build services that are reliable, observable, and tightly integrated with the product surface. • Partner closely with AI engineers, product managers, and designers to translate product vision into production-ready backend implementations. • Move fast without breaking things: balance iteration speed with code quality and system reliability. • Help the team make smart tradeoffs between feature velocity, system durability, and user experience. • Design and implement backend APIs, services, and data flows that power user-facing AI product features. • Own features end-to-end: from technical design through implementation, testing, rollout, and production monitoring. • Build the backend logic for agent-driven product experiences: context retrieval, action execution, conversation management, and intelligent routing. • Work directly with product and design to scope, estimate, and deliver features that users interact with daily. • Drive reliability and quality: observability, incident response, performance tuning, and rollout safety for AI-serving product surfaces. • Identify product-level bottlenecks and propose pragmatic backend solutions that improve the user experience. • Contribute to architecture decisions that balance product velocity with long-term maintainability.