Pessoa Engenheira de Inteligência Artificial Sênior in Brazil, Indiana at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Pessoa Engenheira de Inteligência Artificial Sênior in Brazil.

This role is designed for a highly skilled AI engineer who thrives on solving complex technical challenges and building scalable, production-grade systems with real-world impact at scale. You will work in a remote-first, high-performance engineering environment where autonomy, ownership, and technical excellence are core values. The position focuses on designing and evolving advanced AI solutions powered by Large Language Models, Retrieval-Augmented Generation systems, and modern cloud-native architectures. You will collaborate with multidisciplinary teams to define technical standards, improve system reliability, and drive innovation across AI-powered products. Beyond building models, you will influence architectural decisions, lead critical problem-solving initiatives, and contribute to best practices that elevate engineering maturity across the organization. This is a high-impact opportunity for someone passionate about cutting-edge AI and large-scale distributed systems.

You will be responsible for designing, building, and maintaining advanced AI-driven systems, ensuring scalability, reliability, and high performance across production environments. The role combines hands-on engineering with technical leadership in AI architecture and best practices.

• Develop robust and scalable AI solutions using advanced Python programming.
• Design and implement LLM-based pipelines, including API integrations and inference workflows.
• Build and evolve Retrieval-Augmented Generation (RAG) systems using vector databases and orchestration frameworks.
• Apply prompt engineering techniques to optimize model performance across different use cases.
• Define technical standards and promote best practices in coding, security, and system performance.
• Lead resolution of complex technical challenges across distributed systems and business-critical applications.
• Design and maintain CI/CD pipelines and ensure reliability in production environments.
• Architect and optimize APIs focused on scalability, reliability, and performance.

The ideal candidate has strong experience in AI engineering, distributed systems, and production-grade machine learning applications, combined with a strategic and collaborative mindset.

• Advanced proficiency in Python for backend and AI system development.
• Hands-on experience with LLMs, including API integration, evaluation, and context management.
• Strong experience building RAG pipelines using vector databases (e.g., Pinecone, Weaviate, pgvector) and frameworks such as LangChain or LlamaIndex.
• Deep knowledge of prompt engineering techniques (few-shot, chain-of-thought, structured outputs, instruction design).
• Solid understanding of software engineering best practices, including Git workflows and code review processes.
• Experience building and maintaining CI/CD pipelines for complex backend systems.
• Advanced knowledge of AWS for deployment, monitoring, and scalable infrastructure.
• Strong problem-solving, communication, and technical leadership skills.

Nice to have:

• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn in production.
• Knowledge of cloud security practices and incident response automation.
• Experience leading technical workshops or mentoring engineering teams.
• Familiarity with AWS cost optimization and resource management strategies.

• Remote-first flexibility with freedom to work from anywhere in Brazil.
• Flexible working hours aligned with team needs.
• Health, dental, and life insurance coverage.
• Wellness support including therapy and telemedicine services.
• Education and career development support programs.
• Home office and financial assistance benefits.
• Extended parental leave policies.
• Access to internal communities, guilds, and knowledge-sharing groups.
• Performance-based profit sharing (PLR).
• Comprehensive wellbeing and employee support ecosystem.