AI Engineer / AI Architect

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Gugu Robotics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

🛍️ eCommerce

Artificial Intelligence • Robotics • eCommerce

Gugu Robotics is a pioneering startup based in West Africa, dedicated to harnessing the power of AI, robotics, and drone technology to create innovative solutions for various industries. Founded by visionary engineer Emmy Pencil, the company specializes in designing and building customized robotic systems, drones, and AI-enabled electric vehicles that address critical challenges across sectors such as agriculture, military, medical, and beyond. With a diverse team of experts, Gugu Robotics aims to redefine possibilities in automation and efficient energy solutions to shape the future of technology.

📋 Description

• Design, build, and scale production-grade AI systems that deliver measurable business value • Define system architectures and lead implementation of scalable AI platforms • Own complex AI systems end-to-end, influence technical direction, and mentor engineers • Define AI system architecture aligned to business objectives and long-term scalability • Translate ambiguous AI opportunities into structured technical approaches • Design modular, extensible AI platforms supporting experimentation and production workloads • Establish architecture decision records (ADRs) and technical documentation standards • Lead design and implementation of ML systems, model services, and inference pipelines • Build scalable training, evaluation, and deployment workflows • Ensure reliability, observability, and performance optimization of AI systems • Design and implement end-to-end AI pipelines and agentic orchestration frameworks • Optimize distributed inference systems and retrieval-augmented generation (RAG) performance • Ensure AI infrastructure aligns with security, compliance, and GPU/token cost-efficiency standards. • Bridge research and engineering by operationalizing prototypes into production-ready systems • Define evaluation metrics, validation processes, and rollout strategies • Improve iteration velocity through tooling and automation • Mentor junior and mid-level AI engineers • Lead code reviews and enforce engineering standards • Partner with product, engineering, and executive stakeholders to shape AI roadmaps • Communicate technical strategy and system tradeoffs clearly to non-technical audiences • Align AI initiatives with business value and measurable outcomes.

🎯 Requirements

• 5+ years of experience in AI/ML engineering or applied machine learning • Proven experience designing and deploying production AI systems • Strong software engineering background (Python or similar) • Experience with distributed systems and scalable data architectures • Deep understanding of MLOps, model lifecycle management, and AI infrastructure • Experience building and maintaining ML pipelines and automated deployment workflows • Strong problem-solving skills and architectural judgment • Demonstrated leadership and mentoring experience • Excellent communication skills for technical and executive stakeholders.

🏖️ Benefits

• Professional development opportunities • Advanced AWS Partnership benefits