Applied AI Engineer

Location: Remote, Singapore

Company

hirify.global's ActAI Engineering team builds proactive AI-native applications for conversations, errands, organization, and workflows.

What you will do

• Build and ship AI features end-to-end, from models and systems to user experience.
• Design and iterate on prompts, tools, memory, and agent workflows.
• Convert raw model outputs into structured, reliable, and predictable behaviors.
• Debug issues across models, orchestration, infrastructure, and UX.
• Optimize AI systems for latency, cost, and production reliability.
• Develop evaluation frameworks and collaborate with product, engineering, and research teams.

Requirements

• Strong foundation in machine learning and modern neural network architectures.
• Hands-on experience training, fine-tuning, or deploying ML models.
• Production-quality Python programming skills.
• Experience with PyTorch or JAX, LLMs, inference or serving systems such as vLLM, and vector databases.
• Ability to work across model, infrastructure, and product abstraction layers.
• Strong problem-solving skills and the ability to execute independently in ambiguous, fast-moving environments.

Culture & Benefits

• Work remotely from Singapore; interviews are conducted via virtual meetings and/or onsite.
• Collaborate in a small, world-class team that makes decisions collectively and moves quickly.
• Focus on transparency, independent judgment, high-quality delivery, and continuous improvement.
• Production ML systems are expected to meet accuracy, latency, reliability, reproducibility, and maintainability targets.

Hiring process

• Applications are evaluated by technical team members.
• Expect three interviews, with no more than four, conducted virtually and/or onsite.
• A prompt hiring decision follows the interview process.