Sr. AI Engineer

Requirements:

• 7+ years of software engineering experience building distributed systems and cloud-native applications.
• Strong proficiency in Python or Java, with working knowledge of both preferred.
• Experience designing APIs, microservices, workflow engines, or platform services.
• Experience building systems that integrate with LLMs, AI services, or conversational platforms.
• Experience designing highly available distributed systems and service-oriented architectures.
• Strong understanding of software architecture, system design, scalability, resiliency, and performance optimisation.
• Demonstrated experience leading technical design discussions, driving architectural decisions, and influencing engineering direction across teams.
• Experience with cloud-native technologies, including containers, Kubernetes, and service-based architectures.
• Excellent problem-solving, debugging, and technical communication skills.
• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience.
• Experience integrating AI systems with enterprise applications, APIs, tools, or data platforms through standardised integration patterns.

Must Have Skills:

• Python, Rust, or Go software engineering.
• Distributed systems, APIs, and microservices.
• LLM, AI service, and conversational platform integration.
• Cloud-native architecture, containers, and Kubernetes.
• Software architecture and technical leadership.