**#VemPraLuby** ---------------- **Here, you’ll have the opportunity to:** * **Grow in a high-performance environment:** A culture where development is continuous, with autonomy and involvement in national and international projects that truly challenge your skills and unlock your potential. * **Join a team passionate about technology:** Here, you’ll work alongside experienced talent in a collaborative and disruptive environment, using the most advanced technologies on the market. * **Make your mark on the world:** Our digital solutions directly impact the lives of thousands of people—and this is your chance to actively contribute to building a more digital and connected future. * **Work remotely and flexibly:** No matter where you are, we’re ready to welcome you to our team! **Your Mission:** We’re looking for a professional with a strong software engineering background and real-world expertise in Artificial Intelligence, capable of serving as a technical reference in designing and evolving AI agent–based systems—going beyond simple integrations with LLM APIs. This person will have technical autonomy to design architectures, discuss scalability decisions, and provide technical guidance for applied AI solutions. **Key Responsibilities:** * Design and develop AI agent–based systems and multi-agent workflows * Implement scalable Retrieval-Augmented Generation (RAG) architectures * Develop APIs and services integrating LLMs, structured and unstructured data * Make technical decisions regarding architecture, scalability, and maintenance * Serve as the technical reference for applied AI within the team * Evaluate limitations, trade-offs, and evolution of AI model–based solutions **Essential Requirements:** * Solid software engineering background (APIs, systems, architecture) * Practical experience using LLMs via API (OpenAI, etc.) * Technical understanding of RAG, embeddings, and information retrieval * Foundational knowledge of AI / Machine Learning (neural networks, models, basic statistics) * Experience or understanding of ML pipelines, model deployment, and versioning * Ability to discuss scalability—not just prototypes * Advanced / fluent English **Nice-to-Have:** * Experience with MLflow or similar tools * Experience with AI systems in production * Technical leadership profile (Tech Lead / Staff / Principal mindset) **What We Offer:** * **Remote Work:** Enjoy the flexibility of working from anywhere in Brazil, with full autonomy and self-organization. * **Health & Well-being:** Health and dental insurance, life insurance, and Wellhub (Gympass). * **+Education:** Discounts on courses from FIAP and the USP Esalq MBA program so you can keep learning and growing. * **Exclusive Perks:** Discounts at Multilaser stores, referral bonuses for professionals and business leads, flexible hours, and an annual bonus. ### ***Learn more about our culture, benefits, and what it’s like to be a #Luber on our*** ***Careers Page!***