Job Summary: Develop and scale APIs and backend services for an AI platform, integrating AI, ML, and LLM solutions to implement intelligent features. Key Highlights: 1. Be part of a living ecosystem of AI innovation. 2. Collaborate with product, design, and data teams to deliver technical solutions. 3. Contribute to improving internal tools and automations. #### **About the AI Platform Developer Role** **Join a dynamic ecosystem where the future of business is created and experienced every day. Be part of this transformation!** At LUZA Group, passion, perseverance, and the drive to push boundaries define our path to success. Founded in 2006, we are a Portuguese multinational with over 1,200 talented professionals and significant revenue. With presence in strategic markets including Portugal, Spain, Morocco, Brazil, Mexico, the United States, and China, we deliver innovative solutions in engineering, IT, design, consulting, Industry 4.0, training, and recruitment. Everything we do is powered by the talent of our people. **This is a moment of growth and opportunity. The future belongs to visionary minds. Join us!** **Responsibilities and Tasks for This Role** ### **Responsibilities** Develop and scale high-performance APIs and backend services for the AI platform; Integrate and abstract diverse AI, ML, and natural language models (LLMs) via APIs; Implement intelligent AI features (e.g., summarization, classification, data analysis, RAG, insights); Collaborate on building data pipelines and microservices supporting critical workloads; Ensure high code and system architecture quality, security, and scalability; Work closely with product, design, and data teams to translate business requirements into technical solutions; Contribute to enhancing internal tools, automations, and observability metrics. **Essential Requirements** ------------------------- **Technology:** * Experience with programming languages such as **Python, Node.js, Go, or Java**; * Strong knowledge of REST API development and microservice architecture; * Experience with **cloud infrastructure** (AWS, GCP, Azure); * Knowledge of integration with **AI/ML services**, LLM APIs, and model orchestration; * SQL and NoSQL databases, message queues, caching, and scalability patterns; **Qualifications:** * Practical experience developing backend systems in production environments; * Proficiency in version control (Git), automated testing, and code reviews; * Ability to solve complex problems and translate business decisions into code; * Technical English (reading API and AI model documentation). **Preferred Qualifications** ---------------- * Experience with AI/ML architectures (RAG, embeddings, vectors) or generative AI; * Familiarity with AI platforms such as OpenAI, Anthropic, or machine learning frameworks; * Experience with Kubernetes, Docker, CI/CD, and automated infrastructure; * Background in startups or SaaS products focused on innovative technology;