AI & Data - AI / ML Engineer
Summary
Build and deploy production-grade, cloud-native AI systems and agent-based workflows for enterprise clients using AWS/GCP/Azure.
AI & Data - AI / ML Engineer
Overview
We are seeking a highly technical, hands‑on AI Native Software Engineer to design, build, and deploy production‑grade AI systems for complex enterprise environments. If you are passionate about building scalable, cloud‑native solutions and pioneering agent‑based workflows, we want you on our team.
Key Responsibilities
- Design & Deploy: Architect and launch robust, scalable, cloud‑native AI applications.
- Agentic Workflows: Implement, optimize, and manage advanced agent‑based AI workflows and LLM integrations.
- System Integration: Seamlessly integrate diverse AI platforms and tools into existing enterprise ecosystems.
- Production Excellence: Ensure all AI‑driven systems are secure, performant, and built for production scale.
What You Bring
- Consulting Background: Proven experience working within a Big 4, top‑tier management consulting, or engineering consulting environment.
- Education: A strong tertiary qualification (Degree/Master's) in Computer Science, Engineering, Mathematics, or a highly related technical discipline.
- Technical Expertise: Hands‑on software engineering background with a strong focus on AI/ML and cloud‑native development (AWS, GCP, or Azure).
- AI Architecture: Deep understanding of modern AI platforms, API integration, and agent‑based system architecture.
- Delivery Focus: A strong track record of transitioning AI concepts into reliable, enterprise‑grade production systems.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.