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
- 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
- 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
Requirements:
Benefits:
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).
See the full AI Engineering salary breakdown →