Applied AI Engineer (AI)

TL;DR

Applied AI Engineer (AI): Turn model capabilities into real product behavior by owning problems end-to-end from shaping model behavior to building systems around it and ensuring production reliability. Focus on designing prompts, tools, memory, agent workflows, debugging full stack issues, and optimizing for latency, cost, and real-world performance.

Location: Remote (Singapore)

Company

hirify.global's A1 team is building a proactive AI system that understands context across conversations, plans actions, and carries work forward over time.

What you will do

• Build and ship AI features end-to-end from model to system to user experience
• Design and iterate on prompts, tools, memory, and agent workflows
• Turn raw model outputs into structured, reliable, and predictable behaviors
• Debug issues across the full stack including model, orchestration, infra, and UX
• Optimize for latency, cost, and production reliability
• Develop lightweight evaluation frameworks to measure real-world performance
• Collaborate with product and engineering to translate ambiguous problems into working systems

Requirements

• Strong foundation in machine learning and modern neural network architectures
• Hands-on experience with training, fine-tuning, or deploying ML models
• Ability to write clean, production-quality code
• Comfort working across abstraction layers from model to infra to product
• Strong problem-solving skills in ambiguous, fast-moving environments
• Bias toward shipping, iteration, and continuous improvement

Culture & Benefits

• Work in small, world-class teams making collective decisions at rapid speed
• Balance between shipping high-quality work and continuous learning
• Bring structure, exercise judgment, and execute independently
• Focus on delivering reliable ML-powered features through collaboration

Hiring process

• Applications evaluated by technical team members
• 3-4 interviews via virtual meetings and/or onsite
• Prompt decision with offer for exceptional fits