Applied AI Engineer - Build Proactive AI for Workflows

ActAI; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

ActAI in Singapore is looking for an Applied AI Engineer who will turn model capabilities into real product behavior, owning problems end-to-end from shaping model behavior to building systems and ensuring production reliability. This role sits at the intersection of machine learning, systems, and product, focusing on making AI actually work for users, not just in demos, but in real-world usage.

The focus includes shipping AI features end-to-end, designing prompts, tools, memory and agent

Qualifications

• 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.
• Strong problem-solving skills in ambiguous, fast-moving environments.
• Bias toward shipping, iteration, and continuous improvement.

Responsibilities

• Build and ship AI features end-to-end (model → system → 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 (model, orchestration, infra, UX).
• Optimize for latency, cost, and production reliability.
• Develop lightweight evaluation frameworks to measure real-world performance.
• Work closely with product and engineering to translate ambiguous problems into working systems.

Skills

ML fundamentals

Production-grade coding

Problem solving

Shipping mindset

Tools

Python

PyTorch

JAX

vLLM / inference

Vector DB

Job description

ActAI in Singapore is looking for an Applied AI Engineer who will turn model capabilities into real product behavior, owning problems end-to-end from shaping model behavior to building systems and ensuring production reliability. This role sits at the intersection of machine learning, systems, and product, focusing on making AI actually work for users, not just in demos, but in real-world usage.

The focus includes shipping AI features end-to-end, designing prompts, tools, memory and agent