Senior Staff AI Engineer, Architect

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

📋 Description

• Integrate Generative AI models, including LLMs, with external APIs, tools, and databases through secure and efficient orchestration techniques.

• Design, develop, and implement AI workflows and Agentic AI solutions, facilitating the seamless orchestration of intelligent agents to plan and execute tasks while utilizing autonomous and/or human-in-the-loop approaches.

• Implement and enhance multi-agent systems, utilizing standards and protocols such as Model Context Protocol (MCP), along with emerging frameworks for agent interoperability and access to external resources.

• Create evaluation frameworks, metrics, and checkpoints for agent autonomy, performance, and safety, ensuring adherence to moderation, security, and ethical standards.

• Assess, analyze, and extract insights from structured and unstructured data using Generative AI models and pipelines.

• Guarantee robust AI agent operations by applying observability, monitoring, and MLOps best practices, which support reliable deployment pipelines and continuous performance enhancement.

• Oversee AI model selection, fine-tuning, and performance validation to address specific agent-based application requirements.

• Effectively communicate intricate AI concepts, systems, and decisions to both technical and non-technical stakeholders, fostering transparency and trust in AI delivery.

• Cultivate an atmosphere of innovation and collaboration, motivating teams to tackle complex challenges and share ideas that promote innovative solutions.

⛳️ Requirements

• Demonstrated experience in designing and scaling intricate AI systems, with substantial expertise in Generative AI, LLM architectures, and distributed systems.

• Strong foundation in software and platform architecture, with experience in designing API-driven, modular, and extensible systems.

• Profound understanding of orchestration patterns for LLMs, including tool-calling, RAG pipelines, memory systems, and agent coordination frameworks.

• Experience in architecting or implementing agentic AI systems using frameworks such as LangGraph, OpenAI Agents SDK, CrewAI, Google ADK, or similar.

• Extensive knowledge of data architecture for AI, encompassing embeddings, vector databases, chunking strategies, and retrieval optimization.

• Experience with evaluation frameworks and observability tools (e.g., RAGAS, OpenAI Eval, Arize, LangSmith, Braintrust), as well as defining system-level metrics.

• Practical experience with cloud platforms (preferably GCP) and AI services (e.g., Vertex AI), focusing on scalable and secure deployments.

• Experience in designing systems with CI/CD pipelines, monitoring, logging, and performance optimization at scale.

• Strong comprehension of security, governance, and responsible AI practices in production environments.

• Ability to convert complex AI architectures into clear technical and business narratives for diverse stakeholders.

🏝️ Benefits

• Health and dental plan

• Life insurance

• Monthly voucher for meals, culture, education, health, and mobility

• Child care assistance and more!