Description: What we expect from you: * GenAI Expertise: Experience in agent architecture and orchestration, and prompt engineering with LLMs in production. * Familiarity with the Modern AI Stack: Practical experience with agent and chain orchestration frameworks such as LangChain, LangGraph, or LlamaIndex. * Orchestration Experience: Hands-on experience with LangGraph or state/agent orchestration tools, understanding how to manage memory and persistence. * Observability Culture: Ability to implement structured logging and monitoring tools for non-deterministic systems. * Complex Problem Solving: Capability to map business problems to robust and scalable AI architectures. * Agile Mindset: Hands-on, proactive profile with ability to work autonomously in a dynamic startup environment focused on rapid delivery and adaptation to dynamic changes. * Technical Communication: Skill to clearly present AI architectures to non-technical stakeholders. * On-site Model: Availability to work on-site in Florianópolis, collaborating directly with the team. You’ll stand out if you have: * Systems Engineering: Experience with microservices, observability, and integration of generative models in cloud environments. * Fintech or Regulated Industry: Experience in open banking, compliance, or handling sensitive data in the Brazilian financial sector. * RAG Familiarity: Knowledge of vector search optimization and document re-ranking techniques. * AI Development/Application in Customer Service Platforms (contact center) and CRM. * Visible Portfolio: Personal/open-source projects using LangGraph, RAG, or multi-step agents hosted in GitHub repositories. * Complementary Tools: Knowledge of LlamaIndex, Streamlit, or CrewAI for rapid prototyping. * MLOps/LLMOps Practices: Familiarity with model/prompt versioning, deployment pipelines, model monitoring, and experimentation. * Product Mindset: Ability to view technology through the lens of how it solves real pain points for our end customers. Your role will be: * Agile Agent Development: Design and implement complex agent workflows using LangGraph, integrating Vertex AI (Gemini) with FastAPI for APIs. * Maintenance and Observability: Manage production projects via LangServe and LangFuse, monitoring metrics, debugging failures, and optimizing for scalability. * Advanced Prompt Engineering: Refine prompts and chains to tame LLMs, ensuring accuracy in tasks such as automation and predictive analytics within the fintech context. * Strategic Collaboration: Work with tech leads, business, and data teams to align AI architectures with company priorities, proposing agile innovations. * Team Scalability: Support project expansion by documenting architectures and training juniors during absences or growth phases. * Deployment and Innovation: Ensure smooth deployments, explore GenAI updates, and contribute to a highly autonomous startup environment. * New Project Development: Actively participate in the full lifecycle of new GenAI projects—from conception and experimentation (prompt engineering, evaluation) to production implementation—applying learnings from previous projects. 2512280202491937228