Principal AI Engineer

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Gugu Robotics

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2016

🤖 Inteligência Artificial

🛍️ Comércio Eletrônico

Artificial Intelligence • Robotics • eCommerce

A Gugu Robotics é uma startup pioneira com sede na África Ocidental, dedicada a aproveitar o poder da IA, robótica e tecnologia de drones para criar soluções inovadoras para diversas indústrias. Fundada pelo visionário engenheiro Emmy Pencil, a empresa se especializa em projetar e construir sistemas robóticos personalizados, drones e veículos elétricos habilitados por IA que enfrentam desafios críticos em setores como agricultura, militar, médico, entre outros. Com uma equipe diversificada de especialistas, a Gugu Robotics busca redefinir possibilidades em automação e soluções de energia eficiente para moldar o futuro da tecnologia.

Descrição

• Define AI architecture and technical strategy, and lead implementation across the full lifecycle from design through production • Build scalable ML platforms, pipelines, and workflow orchestration that support model development and event-driven, asynchronous operations at scale • Architect and build LLM-powered systems, including prompt engineering, function/tool calling, multi-agent orchestration, RAG patterns, vector databases, embeddings, and streaming responses • Design and develop APIs and backend services that integrate AI capabilities with enterprise systems and third-party platforms • Lead model development, optimization, and the path from research to production, ensuring promising approaches translate into reliable, production-ready systems • Ensure AI reliability, security, and scalability across deployed systems, including logging, monitoring, and debugging in production environments • Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace • Co-define the AI roadmap with leadership, operating as a peer in strategic technical conversations • Communicate complex technical concepts clearly to engineering and non-engineering stakeholders alike, translating depth into decisions others can act on • Engage with product, engineering, and data teams to align AI work with broader business priorities • Define and champion AI engineering standards that shape how the organization builds and operates AI systems • Mentor across the organization, shaping engineering culture and developing the next generation of technical leaders • Own high-stakes architectural decisions that carry significant organizational and cross-engagement weight • Drive technical vision — defining not just what gets built, but how AI engineering evolves at R&P over time

🎯 Requisitos

• 7+ years of experience in AI/ML engineering • Strong proficiency in Python • Strong software engineering background, including system design, API design, code quality, and strong unit testing practices • Experience designing and working with distributed systems and event-driven architectures • Expertise in MLOps and AI infrastructure, including model versioning, monitoring, deployment automation, and reproducibility • Experience with Amazon Quick, ServiceNow integration, Jira integration, AWS Bedrock, Agentic AI/ML (prompt engineering, agent development), Natural language querying / analytics • Strong stakeholder communication skills, with the ability to translate technical depth across audiences • In-depth experience with AWS, especially AWS GenAI offering; working knowledge of other cloud platforms • Familiarity with both SQL and NoSQL databases, including scalable design patterns • Experience with workflow orchestration tools and asynchronous system operations • Hands-on experience with LLM systems, including prompt engineering, function/tool calling, multi-agent orchestration, RAG architectures, vector databases, embeddings, and streaming LLM responses • Experience with containerization (e.g., Docker) and cloud-native AI architecture patterns • Exposure to AI governance and compliance considerations in production environments

🏖️ Benefícios

• Health insurance • 401(k) matching • Flexible working hours • Paid time off • Remote work options