This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr AI Engineer based in Brazil.
In this role, you will join a highly specialized Applied AI team focused on building and scaling real-world LLM-powered products that directly impact education and learning experiences. You will work at the intersection of machine learning engineering, software development, and applied research, transforming advanced AI capabilities into production-ready systems. The role combines hands-on development with technical leadership, as you will guide more junior engineers while helping define engineering standards and scalable architectures for LLM-based applications. You will explore and implement cutting-edge approaches such as agents, vector databases, and LLM evaluation frameworks. The environment is fast-moving, experimental, and deeply collaborative, requiring strong curiosity and continuous learning. Your work will directly influence how AI is used to improve learning outcomes across a large-scale educational ecosystem.
Accountabilities:
- Provide technical leadership and mentorship to junior engineers within the Applied AI Engineering team.
- Identify and develop opportunities to apply AI and LLMs to solve real business and product challenges.
- Conduct exploratory data analysis and build visualizations to better understand business problems and support AI solution design.
- Design and implement scalable architectures and engineering standards for LLM-based applications.
- Optimize the Applied AI engineering stack, including CI/CD pipelines, tooling, and development workflows.
- Build and deploy AI applications using vector databases, LLMs, and agent-based (single and multi-agent) systems.
- Develop evaluation and validation pipelines for LLM applications, including datasets and LLM-as-a-judge frameworks.
- Create small backend and frontend components to prototype and validate AI product concepts.
- Stay up to date with academic research, technical blogs, and industry advancements to generate hypotheses and improvements for AI systems.
Requirements:
- Solid experience in Data Science, Machine Learning Engineering, or working with LLM APIs in production environments.
- Strong programming skills in Python and familiarity with Git and software engineering best practices.
- Experience designing or working with AI/ML systems, particularly LLM-based applications.
- Ability to communicate complex technical concepts clearly across engineering and non-engineering stakeholders.
- Experience mentoring or supporting junior engineers in a technical environment.
- Strong teamwork skills and ability to collaborate in cross-functional settings.
- Proactive mindset with strong ownership and problem-solving ability.
- English proficiency sufficient to read and understand technical papers, documentation, and research.
- Familiarity with concepts such as vector databases, agents, prompt engineering, or LLM evaluation frameworks (plus).
- Experience building production-grade ML systems or AI products at scale (plus).
Benefits:
- Competitive compensation aligned with experience
- Remote-first work environment
- Health and dental insurance coverage
- Meal and/or food allowance support
- Extended maternity and paternity leave policies
- Childcare assistance programs
- Wellness partnerships (fitness and mental health platforms)
- Education incentives and professional development support
- Discounts on travel and airline partnerships
- Pet health plan partnerships
- Access to educational materials for employees’ children
- MBA and postgraduate study partnerships and discounts
- Inclusive and diversity-driven workplace culture
- Opportunities to work with cutting-edge LLM and AI technologies
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