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

Jobgether · Brazil

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:

    • 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
      • 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

AI Engineering pay context

Based on 586 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $204K/year, with most offers between $165K and $239K (10th–90th percentile: $131K–$276K).

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