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.

Requirements

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.

Benefits

• 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.

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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