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

Jobgether • Brazil

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Lead AI strategy, architecture, and scalable solutions across products. Automate workflows and build agent-based systems. Collaborate with leadership to define AI roadmap. Evaluate emerging AI/ML technologies.

Key Highlights

Shape AI strategy and architecture across products

Automate complex workflows using AI and LLM-based approaches

Build and maintain agent-based architectures and intelligent automation systems

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Key Responsibilities

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

Technical Skills Required

AI/ML Engineering AWS and cloud-based AI/ML architectures SQL and structured data systems

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Benefits & Perks

Competitive compensation

Fully remote work

Cutting-edge AI systems in production environments

Job Description

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.

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