AI Engineer | Mid in Brazil, Indiana at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineer | Mid based in Brazil.

This role offers the opportunity to design and build innovative Artificial Intelligence solutions using cutting-edge Generative AI technologies.
You will contribute to the development of intelligent applications powered by Large Language Models, autonomous agents, and advanced cloud platforms.
Working in a collaborative and technology-driven environment, you will help transform business challenges into scalable AI solutions.
The position focuses on creating secure, reliable, and high-performance AI applications while applying modern engineering practices.
You will work with emerging frameworks, cloud services, and LLMOps methodologies to accelerate AI adoption.
The ideal candidate is passionate about innovation, enjoys solving complex problems, and wants to contribute to the evolution of AI-powered products.

As an AI Engineer, you will be responsible for designing, developing, and deploying Generative AI solutions that support business transformation and innovation. You will work across the entire AI application lifecycle, ensuring solutions are scalable, secure, observable, and aligned with technical and business objectives.

• Design, develop, and deploy Generative AI solutions at scale.
• Build robust, secure, and integrated applications connected to enterprise technology ecosystems.
• Develop intelligent agents using Large Language Models (LLMs) and frameworks such as LangChain, LangGraph, and LangFlow.
• Create AI solutions based on Retrieval-Augmented Generation (RAG), chatbots, intelligent document processing, and classification systems.
• Implement agent orchestration workflows and API-based integrations.
• Work with cloud AI platforms, including AWS Bedrock (AgentCore), Vertex AI, and Azure OpenAI.
• Apply LLMOps practices for the development, deployment, monitoring, and continuous improvement of AI applications.
• Define solution architectures and ensure performance, security, scalability, and observability.
• Collaborate with multidisciplinary teams to build AI-powered products and business solutions.
• Continuously improve AI applications through testing, optimization, and engineering best practices.

The ideal candidate has experience developing Generative AI solutions and strong knowledge of modern AI engineering practices, cloud platforms, and application development.

• Bachelor’s degree in Technology-related fields or postgraduate studies in IT.
• Professional experience developing Generative AI solutions using cloud services, especially Amazon Bedrock.
• Strong knowledge of LangChain and LangGraph frameworks for building intelligent agents.
• Experience creating and evolving autonomous agents integrated with Large Language Models (LLMs).
• Knowledge of LLMOps principles and the lifecycle management of AI applications.
• Experience developing chatbots, classification systems, document processing solutions, and RAG-based applications.
• Knowledge of graph modeling using Neo4j and Cypher language.
• Experience integrating solutions using MCP (Model Context Protocol).
• Understanding of solution architecture, testing strategies, observability, and cloud application optimization.
• Experience using Git for version control and collaborative development.
• Familiarity with AI-assisted development tools such as AWS Kiro is considered a plus.
• Strong analytical thinking, problem-solving skills, and ability to collaborate in multidisciplinary teams.
• Passion for emerging technologies and continuous learning.

• Fully remote work model.
• Opportunity to work with advanced Artificial Intelligence and Generative AI technologies.
• Exposure to innovative projects involving LLMs, intelligent agents, and cloud platforms.
• Collaborative environment focused on knowledge sharing and professional growth.
• Opportunity to contribute to AI-driven digital transformation initiatives.
• Work with modern engineering practices, tools, and technologies.
• Career development opportunities in a fast-evolving technology landscape.