LLM Applications Engineer: Build Reliable AI Workflows

ActAI

Singapore

On-site

SGD 120,000 - 180,000

Full time

35 hours ago
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Job summary

ActAI is building proactive, AI-native applications to organise life and workflows. The LLM Application Engineer role focuses on the intelligence layer behind AI experiences, bridging LLMs, software engineering, and product design.

You will own end-to-end problems: from user needs to agent workflows, model and tool integration, and production-grade AI behaviour improvements. Join a fast-moving team delivering dependable AI outcomes.

Qualifications

  • Strong software engineering fundamentals with experience building AI-powered applications.
  • Hands-on experience with LLMs, generative AI, or agent-based systems.
  • Experience designing prompts, workflows, evaluations, or AI behaviour.
  • 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 LLM-powered applications and AI agent workflows.
  • Design systems for reasoning, planning, memory, tool use, and multi-step execution.
  • Build reliable orchestration pipelines turning model outputs into actionable steps.
  • Integrate LLMs with APIs, databases, search, and internal/external tools.
  • Develop prompting, context engineering, structured outputs, tool-calling, and related techniques.
  • Establish observability, evaluation, and continuous improvement practices across production AI systems.

Skills

Python
LLMs
Agent-based systems
Prompt design
Problem-solving

Tools

PyTorch
JAX
Vector databases
OpenAI-compatible APIs

Job description

ActAI is building proactive, AI-native applications to organise life and workflows. The LLM Application Engineer role focuses on the intelligence layer behind AI experiences, bridging LLMs, software engineering, and product design.

You will own end-to-end problems: from user needs to agent workflows, model and tool integration, and production-grade AI behaviour improvements. Join a fast-moving team delivering dependable AI outcomes.

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