Principal Engineer – GenAI Platform

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Oversee the design and deployment of Generative AI solutions within enterprise and regulated settings.

• Create scalable architectures utilizing LLMs, RAG, AI Agents, guardrails, and model routing strategies.

• Set standards for evaluation, monitoring, and governance of Generative AI applications.

• Collaborate directly with product and business teams to convert requirements into production-ready solutions.

• Build frameworks, reusable components, templates, and best practices for widespread adoption across various teams.

• Lead technical assessments and facilitate architectural decision-making.

• Act as a technical authority for engineers and data scientists.

• Ensure compliance with Responsible AI principles, information security, and model risk management standards.

• Encourage knowledge sharing and enablement for teams tasked with supporting the solutions.

⛳️ Requirements

• Proficient in advanced/fluent English for effective communication in a global context.

• Extensive experience in Machine Learning Engineering and/or LLM Engineering within production environments.

• Practical experience with Retrieval-Augmented Generation (RAG).

• Hands-on expertise with AI Agents.

• Proficient in implementing Generative AI guardrails.

• Skilled in Model Selection & Routing.

• Experienced with both offline and online model evaluation.

• Familiar with regression testing for AI applications.

• Knowledgeable in human-in-the-loop validation processes.

• Experienced in model monitoring and observability.

• Familiar with cloud platforms, particularly AWS and/or Databricks.

• Understanding of model and dataset versioning, experiment tracking, and MLOps practices.

• Capable of influencing cross-functional teams and stakeholders without formal authority.

• Preferred: experience with MLflow and Unity Catalog.

• Preferred: knowledge of Databricks Model Serving.

• Preferred: experience with Kubernetes, EKS, or distributed systems.

• Preferred: experience in heavily regulated sectors.

• Preferred: knowledge of Responsible AI governance and frameworks.

🏝️ Benefits

• Remote work options available.

• Inclusive and purpose-driven workplace environment.

• Opportunities for career and professional development.

• Support for well-being and a balanced approach to personal and professional commitments.

• People-first organizational culture.

• Chance to engage with advanced technologies and participate in high-impact projects.