Senior / Principal AI / ML Engineer (Product AI Enablement)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior / Principal AI / ML Engineer (Product AI Enablement) based in Brazil.

This role sits at the intersection of AI engineering, product innovation, and scalable system design, focusing on bringing production-grade AI capabilities into a modern digital product ecosystem. You will be responsible for shaping how AI is standardized, deployed, and scaled across multiple product surfaces, with a strong emphasis on automation, agent-based systems, and real-world business impact. The position involves close collaboration with product and engineering leadership to define AI strategy, architecture, and execution at scale. You will also play a key role in evaluating emerging AI technologies and translating them into practical, production-ready solutions. The environment is fast-paced, highly technical, and strongly oriented toward ownership, experimentation, and measurable outcomes. This is a high-impact role where your work directly influences how AI is embedded into core product experiences.

Accountabilities

• Lead the design, architecture, and implementation of scalable AI-powered solutions across the product ecosystem
• Automate complex manual workflows using AI and LLM-based approaches to improve efficiency and system performance
• Build and maintain agent-based architectures and intelligent automation systems for product use cases
• Design semantic data models and AI-ready data structures to support advanced AI capabilities
• Develop custom AI skills, tools, and workflows tailored to product and business needs
• Define and enforce best practices for AI integration, spec-driven development, and scalable deployment
• Collaborate with product and engineering leadership to shape AI strategy, roadmap, and technical execution
• Evaluate emerging AI/ML technologies and recommend adoption strategies for production use
  
  

Requirements

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• 6+ years of experience in AI/ML engineering or related software engineering roles
• Strong hands-on experience with AWS and cloud-based AI/ML architectures
• Solid SQL skills and experience working with structured and analytical data systems
• Experience working with LLM ecosystems such as Anthropic Claude or similar tools
• Proven experience building custom AI/LLM-based solutions and intelligent automation systems
• Hands-on experience with agent-based systems and agentic programming concepts
• Experience applying spec-driven development practices in production environments
• Ability to design and deliver scalable, production-ready AI systems end-to-end
• Strong product mindset with ability to translate business needs into AI-driven solutions
• Strong ownership, independence, and ability to influence technical direction
  
  

Benefits

• Competitive compensation aligned with experience and market standards

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• Fully remote work with flexible collaboration across international teams
• Opportunity to work on cutting-edge AI systems in production environments
• High-impact role with direct influence on product strategy and AI adoption
• Strong culture of engineering excellence, ownership, and innovation
• Career growth opportunities in advanced AI and product engineering domains
• Exposure to modern AI tooling, LLM ecosystems, and agent-based architectures
  
  

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!

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