Responsibilities * Develop applications with integration to generative models (e.g.: GPT, Claude, LLama). * Build and maintain APIs (Python, Node.js, etc.) and interfaces (React, Next.js). * Implement calls to AI services via REST or SDKs (AWS Bedrock, OpenAI, HuggingFace). * Participate in technical decisions regarding architecture, data flow, and UX. * Collaborate with AI, data, and product engineers to deliver functional MVPs. * Ensure best practices in versioning, testing, security, and deployment (CI/CD). Requirements and Qualifications * Solid experience with front-end frameworks (React.js, Next.js, or similar). * Knowledge of back-end development using Node.js, Python (FastAPI/Flask), or equivalent. * Experience consuming and integrating AI models via APIs. * Use of SQL and NoSQL databases. * Familiarity with AWS environments (S3, Lambda, API Gateway) or equivalent. Desirable Advantages * Knowledge of LangChain, LlamaIndex, or frameworks for LLM orchestration. * Experience with RAG, embeddings, and vector databases (Pinecone, Weaviate, Redis Vector, OpenSearch). * Mastery of UX best practices or participation in product squads. * Prior experience in startups, innovation, or MVP squads.