About the Company
My client is a high-octane technology powerhouse dedicated to high-concurrency infrastructure and fullstack digital ecosystems. They are currently scaling their AI division to move Generative AI from lab-concept to global production. Expect stability of a market leader paired with the technical velocity of a startup! This is an ideal environment for engineers who want to build low-latency, large-scale deployments that redefine digital interaction.
About the Job
Join a specialized engineering hub dedicated to building the intelligent workflows and automation that power global platforms.
- Conceptualize and ship sophisticated system architectures that integrate autonomous decision-making
- Lead the full software lifecycle with a focus on reliability and seamless performance
- Define technical protocols centered on modularity, security, and hyper-scalable infrastructure
- Mentor a multi-disciplinary team to level up internal engineering culture and methodologies
- Prototype experimental technologies to influence the long-term roadmap of smart enterprise tools
Skills and Experience Required
- Senior Level: Min 2-4 years of proven experience developing and deploying software and AI solutions.
- Lead Level: Min 7 years of hands-on experience, with 2-3 years in a senior or technical lead capacity supervising other engineers.
- Professional background in building complex, high-traffic software and managing technical delivery
- Professional background in building and deploying complex software at scale, with experience managing technical project delivery.
- Strong full-stack development skills using modern programming languages and secure data management practices.
- Expertise in developing frameworks for large-scale information retrieval and automated reasoning systems.
- Deep understanding of enterprise-grade security standards and cloud-based deployment strategies.
- Academic credentials in a quantitative or technical discipline, with a focus on advanced computing or intelligent systems.