Forward Deployed Engineer (AI)

Location: Singapore; Singapore citizens only

Company

hirify.global builds high-performance AI systems and inference hardware with full-stack software supporting PyTorch and vLLM.

What you will do

• Lead technical customer engagements with the regional sales team, from initial discussions through PoV design and execution.
• Build and deliver product demonstrations, technical presentations, and benchmarking content for LLM inference and vision pipelines.
• Design and prototype reference architectures using serving stacks, Kubernetes integration, and hirify.global’ AI platform.
• Evaluate throughput, latency, and energy efficiency, then optimize serving and routing strategies for customer workloads.
• Work directly with infrastructure, platform, and ML teams on architecture decisions, deployment plans, and troubleshooting.
• Create integration guides and technical documentation while relaying customer feedback to software and hardware engineering teams.

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field.
• At least 3 years of experience in AI/ML deployment, customer engagement, or solutions engineering.
• Hands-on experience deploying Kubernetes-based AI inference stacks, including orchestration, serving, and inference runtimes.
• Familiarity with distributed LLM inference orchestration such as NVIDIA Dynamo, llm-d, or vLLM disaggregated serving.
• Working knowledge of Python and PyTorch, plus strong presentation, communication, and collaboration skills.
• English fluency and Singapore citizenship are required.

Nice to have

• Experience as a Solutions Engineer, Sales Engineer, or Field Application Engineer in a pre-sales environment.
• Familiarity with GPU infrastructure, networking, storage, and hardware acceleration for AI workloads.
• Experience with quantization, pipelining, technical content creation, or industry events.
• Ability to work autonomously in a small, fast-moving regional team.

Culture & Benefits

• Work with customers and partners across the region as the primary on-the-ground technical resource.
• Collaborate across engineering, business, sales, and strategy teams.
• Represent the company at trade shows, conferences, and technical demonstrations.

Hiring process

• Application review followed by a first online interview.
• Second interview with a technical exercise and culture-fit session, followed by a management interview.
• Final on-site interview.