This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a [AI Engineer - Mid Level] based in Brazil. This role offers the opportunity to build cutting-edge AI solutions that transform how businesses operate through intelligent automation and agent-based systems. You will contribute to the development of an enterprise-grade AI platform designed for large-scale, secure, and high-impact operations. Working within a collaborative technology environment, you will help shape next-generation AI experiences using advanced cloud and machine learning technologies. The position combines software engineering, AI development, and architecture design to create scalable solutions with real business value. You will collaborate with multidisciplinary teams while applying modern AI engineering practices, including agent orchestration, retrieval systems, and human-in-the-loop workflows. This is an opportunity to work on innovative projects where your technical expertise directly influences the future of AI-powered products and services. ### Accountabilities: The AI Engineer will be responsible for designing, developing, and delivering advanced AI-powered solutions while contributing to the architecture, reliability, and scalability of intelligent platforms. The role requires strong collaboration across engineering teams and the ability to translate complex AI concepts into practical business outcomes. - Develop and maintain AI-driven applications using Python and modern AI/ML frameworks such as Strands, LangChain, or similar technologies. - Build and optimize agentic AI workflows, including prompt engineering, evaluation processes, and human-in-the-loop (HITL) governance models. - Design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases and knowledge retrieval systems. - Develop integrations using Model Context Protocol (MCP), API gateways, and cloud-based services. - Work with AWS AI and serverless technologies, including Bedrock AgentCore components, Lambda, Step Functions, EventBridge, S3, and CloudWatch. - Contribute to the development of secure, multi-tenant AI platforms with strong identity management and operational controls. - Implement monitoring, observability, and performance optimization strategies for AI applications. - Support the selection, testing, and improvement of foundation models, prompts, and AI system behaviors. - Collaborate with product, engineering, and business teams to deliver reliable AI solutions aligned with user needs. - Apply best practices in software engineering, architecture, and quality assurance within AI development environments. ## Requirements: The ideal candidate has a strong background in software engineering and artificial intelligence, with hands-on experience building scalable AI solutions and cloud-based applications. This role requires technical depth, curiosity, and the ability to work effectively in a fast-evolving environment. - Professional experience developing AI-powered applications and software solutions. - Strong Python programming skills with experience using AI/ML frameworks such as Strands, LangChain, or equivalent tools. - Hands-on experience with AWS Bedrock and AgentCore components, including Runtime, Gateway, Memory, Identity, and Observability. - Experience designing and implementing RAG architectures and working with vector databases such as OpenSearch, Pinecone, or similar technologies. - Knowledge of Model Context Protocol (MCP) and API-based integrations. - Experience with AWS serverless architectures and cloud-native development practices. - Familiarity with agentic software development lifecycle practices, including prompt engineering and AI evaluation workflows. - Advanced English communication skills. - Ability to analyze complex technical challenges and develop scalable solutions. - Strong collaboration, communication, and problem-solving skills. Preferred qualifications: - Experience implementing LLM security practices, including prompt injection prevention and content filtering. - Knowledge of multi-tenancy architectures and identity management in SaaS environments. - Experience with intent classification, conversational AI flows, and chatbot architectures. - Familiarity with distributed tracing, token analytics, and AI observability tools. - Experience with LLM-as-a-Judge evaluation approaches and AI quality assurance pipelines. - Knowledge of event-driven architectures and real-time telemetry processing. - Experience with foundation model optimization, fine-tuning, and advanced prompt strategies. ## Benefits: - Health and dental insurance. - Meal and food allowance. - Childcare assistance. - Extended paternity leave. - Gym and wellness partnerships through Wellhub (Gympass) and TotalPass. - Profit Sharing and Results Participation (PLR). - Life insurance coverage. - Continuous learning opportunities through internal training platforms. - Partnerships with online learning and language education platforms. - Discount club benefits. - Access to online resources focused on physical, mental, and overall well-being. - Pregnancy and responsible parenting support programs. - Inclusive workplace culture with dedicated support for accessibility and employee well-being. 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?](https://jobgether.com/how-jobgether-works) 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. #LI-CL1