Forward Deployed Engineer (AI)

TL;DR

Forward Deployed Engineer (AI): Developing and deploying high-performance AI inference solutions for regional customers with an accent on pre-sales technical leadership and PoV execution. Focus on designing reference architectures, optimizing LLM inference performance, and integrating Kubernetes-based AI stacks.

Location: Must be a Singapore Citizen and based in Singapore

Company

hirify.global builds high-performance AI systems, including the Rebel 100™, natively supporting PyTorch and vLLM for production inference.

What you will do

• Lead technical customer engagements from initial conversations through PoV design and execution.
• Build product demos and benchmarking content for LLM inference and vision pipelines.
• Design and prototype reference architectures, including serving stack configuration and Kubernetes integration.
• Analyze end-to-end inference performance and optimize serving and routing strategies.
• Collaborate with customer infrastructure leads and platform engineers on architecture and deployment.
• Provide customer feedback to internal engineering teams to influence product direction.

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
• Must be a Singapore Citizen.
• Minimum 3 years of experience in AI/ML systems deployment or solutions engineering.
• Hands-on experience with Kubernetes-based AI inference stacks and orchestration.
• Proficiency in Python and PyTorch.
• Fluent English communication skills.

Nice to have

• Experience in pre-sales roles such as Solutions Engineer or Sales Engineer.
• Knowledge of GPU infrastructure (NVIDIA DGX/HGX, NVLink, InfiniBand).
• Understanding of hardware acceleration (NPU, GPU) and model optimization techniques like quantization.
• Experience producing technical content including blogs and whitepapers.

Culture & Benefits

• Opportunity to work as part of a small, fast-moving regional team.
• Exposure to cutting-edge AI hardware and full-stack software.
• High degree of autonomy in representing the company at industry events and conferences.

Hiring process

• Application Review.
• Online Interview.
• On-site Interview including a technical exercise.
• Culture-Fit Interview.