Sobre

• This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Especialista de engenharia based in Brazil.
• This is a high-impact technical leadership role focused on building intelligent products powered by Generative AI and Machine Learning.
• You’ll lead the architecture and development of scalable solutions using LLMs, RAG, AI Agents, and multimodal models.
• The role combines deep software engineering expertise with hands-on experimentation across an evolving AI ecosystem.
• You’ll work closely with Architecture, Product, Data, and Engineering teams to bring AI capabilities into real-world products.
• A key focus will be establishing engineering standards around security, governance, observability, cost, and performance.
• You’ll also evaluate emerging technologies, build proofs of concept, and help shape the organization’s AI adoption strategy.
• This is an opportunity to influence both the technology roadmap and the engineering practices behind next-generation AI solutions.
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Accountabilities

• Lead the technical development of Generative AI, Machine Learning, and intelligent product initiatives.
• Design scalable architectures for applications based on LLMs, Retrieval-Augmented Generation (RAG), AI Agents, and multimodal models.
• Develop Java-based applications and services integrated with AI and Machine Learning capabilities.
• Define and establish engineering standards, reusable components, and best practices for AI-powered applications.
• Integrate foundation models and AI services into existing products and platforms.
• Develop and evolve AI solutions with a focus on scalability, reliability, performance, and cost efficiency.
• Implement solutions involving RAG, embeddings, vector databases, prompt engineering, AI Agents, and related technologies.
• Evaluate emerging AI models, frameworks, APIs, and development approaches, identifying opportunities for practical adoption.
• Build proofs of concept to validate new AI capabilities and accelerate innovation.
• Ensure intelligent solutions meet appropriate requirements for security, governance, observability, and responsible AI.
• Collaborate with Architecture, Product, Data, and Engineering teams to translate business needs into robust technical solutions.
• Provide technical guidance and mentorship to engineers adopting AI capabilities across products.
• Contribute to the automation of business and engineering processes through AI.

Requirements

• Strong professional experience in software engineering, with advanced proficiency in Java 17+ and Spring Boot.
• Solid experience designing and developing microservices, REST APIs, and GraphQL services.
• Strong knowledge of automated testing using technologies such as JUnit and Mockito.
• Experience applying Design Patterns, SOLID principles, Clean Architecture, Domain-Driven Design (DDD), and Event-Driven Architecture.
• Practical experience with CI/CD tools and practices, including Jenkins and GitHub Actions.
• Hands-on experience with Docker and Kubernetes.
• Proven practical experience developing or integrating Generative AI solutions.
• Strong understanding of Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG).
• Experience designing or implementing AI Agents and familiarity with MCP (Model Context Protocol).
• Experience working with AI platforms and APIs such as OpenAI API, Azure OpenAI, or Amazon Bedrock.
• Familiarity with LangChain, LangGraph, or comparable AI application frameworks.
• Experience with embeddings and vector databases such as Pinecone, OpenSearch, pgvector, Weaviate, or ChromaDB.
• Knowledge of model fine-tuning and evaluation techniques when applicable.
• Understanding of Responsible AI principles, AI governance, security, and model evaluation.
• Ability to assess AI solutions using appropriate metrics and optimize for performance, scalability, and cost.
• Strong architectural thinking, analytical problem-solving skills, and the ability to translate emerging technologies into practical solutions.
• Excellent collaboration and communication skills, with the ability to mentor engineers and influence technical decisions.

Benefits

• Opportunity to work on innovative Generative AI and Machine Learning initiatives.
• Exposure to LLMs, RAG, AI Agents, multimodal models, foundation models, and emerging AI technologies.
• Opportunity to influence AI architecture, engineering standards, and technology adoption.
• Technical leadership and mentorship opportunities.
• Collaboration with multidisciplinary teams across Architecture, Product, Data, and Engineering.
• Environment focused on continuous learning, innovation, and technological evolution.
• Inclusive, people-focused culture with a strong emphasis on professional development and well-being.
• Flexible environment designed to support career development alongside personal commitments.
• Access to an international technology environment and opportunities to work on solutions with broad business impact.
• Recognition through multiple workplace and employer-quality certifications and awards.
• Opportunity to contribute to products and initiatives designed to create meaningful value for people and businesses.

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How Jobgether works

• We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
• We appreciate your interest and wish you the best!
• Why Apply Through Jobgether?
• Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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