• You support the development of production-ready AI use cases — from idea and prototype to deployment. • You develop, test, and document prompts, workflows, and automations using modern AI tools. • You contribute to building our internal knowledge wiki based on Retrieval-Augmented Generation (RAG) and help integrate relevant data sources. • You create documentation and playbooks, and support the standardization of our AI solutions. • You help make the success of our use cases measurable using relevant KPIs. • You support the development and delivery of trainings, workshops, and courses on AI. • You produce practical learning materials, prompt collections, and use-case libraries. • You support our power users through train-the-trainer approaches and by sharing best practices. • You take part in AI office hours, hackathons, and onboarding activities. • You analyze the usage of our AI tools and work with the team to define measures to increase adoption.

Role Description Projeto de inovação do INSTITUTO ITAÚ DE CIÊNCIA, TECNOLOGIA E INOVAÇÃO em parceria Inova Talentos. - Revisão bibliográfica/benchmark de LLM+otimização, multiagentes, tool-calling e RAG aplicado a normas. - Definição de baseline de métricas (tempo médio de criação, tempo médio de revisão, nº de não conformidades). - Implementação do fluxo multiagente em Python (LangChain + Claude Opus) com tool-calling para acionar otimizadores. - Execução de testes e validação com lotes de projetos; análise de resultados e ajustes iterativos. Qualifications - Modalidade: TECH 3 Mestre - Formação: Mestrado - Cursos: Ciências da computação, Engenharia de Software, Análise e desenvolvimento de sistemas, Matemática aplicada, Ciência de dados, Estatística Requirements - Programação avançada (Python) - Otimização Matemática - Pesquisa Operacional - Modelos de IA Generativa Benefits - Disponibilidade: 40h semanais - Duração: 12 meses - Bolsa Auxílio: R$ 9.000,00 - Atuação: Remota

Role Description Nous lançons un nouveau service premium de sessions individuelles de 30 min en visio entre nos apprenants et des formateurs experts. - Débloquer un apprenant sur une difficulté précise : méthode, compréhension, blocage technique. - Préparer aux examens, un oral ou une soutenance. - Redonner confiance et remotiver. - Faire avancer un projet ou approfondir un sujet clé du parcours. Qualifications - Expert reconnu dans votre domaine (diplôme, expérience terrain, pratique actuelle). - Statut freelance obligatoire : micro-entrepreneur, société ou portage salarial. - NDA obligatoire (si vous n'en avez pas, nous pouvons vous accompagner dans les démarches). - Disponible quelques heures par semaine. - À l'aise avec la pédagogie individuelle : accessible, concret, légitime - la Studi Touch. Requirements - Praticien de l'IA en activité : consultant IA, formateur IA, data scientist ou professionnel ayant intégré l'IA dans son métier (RH, marketing, gestion, juridique, création…). - Capacité à rendre l'IA concrète pour des apprenants de toutes filières et de tous niveaux : cas d'usage propres à chaque métier, prise en main d'outils, bonnes pratiques de prompting. - Aptitude à adapter la séance au contexte de l'apprenant : automatiser une tâche, fiabiliser une production, gagner du temps dans son futur métier. - Un plus : expérience de l'IA au service de l'apprentissage (méthodologie, révision, production de livrables) et connaissance du cadre européen (AI Act, RGPD). Benefits - Rémunération par séance - transparente, rapide, garantie. - Horaires 100 % flexibles : soirs, week-ends, journée - vous choisissez vos créneaux. - Paiement mensuel sous 15 jours. - Flux d'apprenants assuré par Studi - 0 prospection de votre côté. - Plateforme dédiée clé en main : réservation, visio, facturation sur une seule interface.

Role Description An AI Development Engineer is responsible for solving complex engineering problems by using AI to improve speed, quality, and cost efficiency. This role reimagines traditional software engineering for an AI-augmented world — moving from coding-heavy execution to system orchestration, structured thinking, validation, and agentic application development. The ideal candidate is a strong hands-on engineer who can work with AI tools, foundation models, multimodal systems, and research-driven implementation to build reliable, scalable, production-ready AI applications. Key Responsibilities - Translate ambiguous product or business requirements into clear technical specifications, system designs, and validation plans. - Build, maintain, and scale AI-powered production systems and agentic applications. - Design workflows where LLMs, VLMs, tools, APIs, retrieval systems, and traditional microservices work together reliably. - Use AI-assisted development tools while maintaining code quality, security, performance, and long-term maintainability. - Prevent AI-generated code bloat, dead code, and unnecessary complexity. - Build observability, evaluation, testing, and monitoring systems for AI-generated outputs. - Optimize prompts, model selection, workflows, and inference cost. - Apply Responsible AI principles including safety, privacy, fairness, transparency, and accountability. - Work with cross-functional teams across product, engineering, security, data, and design. - Mentor engineers to move from implementation-heavy development to system orchestration and AI-first engineering practices. Qualifications - Strong software engineering fundamentals and hands-on experience building production-grade systems. - Experience in one or more modalities such as vision/images, video, text, audio, speech. - Deeper knowledge and hands-on experience with LLMs, VLMs, multimodal AI systems, and foundation model architectures. - Ability to actively find, read, understand, and implement ideas from AI research papers. - Experience building or integrating agentic applications, AI copilots, RAG systems, workflow automation, or multimodal GenAI systems. - Strong understanding of system design, APIs, data flows, testing, observability, security, and production reliability. - Practical experience with prompt engineering, context engineering, model evaluation, benchmarking, and AI workflow orchestration. - Ability to convert ambiguous requirements into structured specs, implementation plans, and validation frameworks. - Strong debugging, problem-solving, communication, ownership, and learning agility. Requirements - NOTE: This is a 6-month contractual role, with the possibility of extension based on performance and business requirements. Benefits - Best-in-class salary: We hire strong talent and compensate accordingly. - Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners. - Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development. - High-impact work: Build AI-first systems and products used at scale by global clients. Company Description Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.