• Design and operate services that serve personalized recommendations to users in real time, including Smart Shuffle and Discover Weekly • Build and maintain large-scale batch pipelines in Scala/Scio and Flyte that generate candidate pools, bloom filters, and personalization signals for hundreds of millions of users daily • Develop and maintain components within Spotify's Sessions Platform (SSP) that power playlist experiences end to end • Collaborate with data scientists to operationalize research ideas • Be a technical leader in an autonomous, multi-functional team

• Provide maintenance and enhancements for web applications; • Develop features using Angular and .NET C#; • Participate in system modernization initiatives and architectural evolution; • Work with microservices architecture and RESTful APIs; • Perform analysis and maintenance on SQL Server databases, including stored procedures, queries and troubleshooting; • Support analysis and resolution of production incidents; • Contribute to technical improvements, performance tuning and development best practices.

• Design and implement solutions based on large language models (LLMs), multi-agent systems, and intelligent automation, taking into account the security, legal compliance, and scalability requirements of the institutional environment. • Develop interfaces and integration layers between AI solutions and existing institutional systems, including Java applications, relational and non-relational databases, and internal APIs. • Identify automation opportunities in manual and repetitive workflows, proposing and implementing solutions that deliver measurable gains in efficiency and delivery quality. • Keep abreast of state-of-the-art applied AI — including agent frameworks, RAG (Retrieval-Augmented Generation), fine-tuning, and local inference — assessing their feasibility and relevance for institutional adoption. • Produce clean, testable, and well-documented code. Follow security practices in software development (DevSecOps), including access control, protection of sensitive data, and traceability of automated decisions. • Create and maintain architecture documentation, API documentation, integration flow diagrams, and user guides, ensuring knowledge transfer and the long-term sustainability of developed solutions. • Mentor junior and mid-level professionals, participate in code reviews, contribute to defining technical standards, and support high-impact architectural decisions.

• Develop, evolve, and maintain conversational text (WhatsApp) and voice (IVR) bots, focusing on generative AI solutions and deterministic flows to build intelligent conversational experiences; • Interact directly with internal stakeholders to understand requirements, propose technical solutions, and actively participate in squad refinement activities; • Design conversational flows — text and voice — with emphasis on user experience and alignment with business requirements; • Integrate bots with APIs, legacy systems, and messaging platforms; • Use AI tools to accelerate development and improve code quality, actively contributing to the squad's AI adoption culture; • Write and review automated tests to ensure quality and stability of deliveries; • Document technical solutions and developed flows, keeping knowledge accessible to the team; • Identify and propose technical and experience improvements for existing bots; • Collaborate with the QA team in the validation and acceptance of deliveries; • Share technical knowledge with the team in a collaborative manner, contributing to the squad's collective growth.