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Open nowPosted 223 days ago

Senior AI Engineer

Workable (global search)108,016 open roles

Where
Singapore
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Your applicationOpen nowSenior AI EngineerWorkable (global search) · Singapore

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 223 days ago

Workable (global search) median: 7 days open

The posting

We are looking for AI Engineers to design and deliver intelligent, agent-based solutions powered by Large Language Models (LLMs) and modern AI frameworks. You will work closely with cross-functional teams to embed Generative AI into products and services, building scalable solutions that drive real business impact.

What You’ll Do

  • Design and build agent-based AI solutions using LLMs and advanced frameworks
  • Integrate Generative AI into production systems and business applications
  • Develop APIs and backend services using Python (FastAPI / Flask)
  • Deploy AI applications on Azure, AWS, or GCP using Docker, Kubernetes, and serverless technologies
  • Optimize prompts, fine-tune LLMs, and implement MLOps/LLMOps pipelines
  • Collaborate with product, engineering, and business teams in a fast-paced environment

Requirements

What You’ll Bring

  • Strong proficiency in Python, including asynchronous programming
  • Hands-on experience with Generative AI and LLM techniques (RAG, fine-tuning)
  • Experience designing agent workflows (ReAct, Chain-of-Thought, planning)
  • Familiarity with frameworks such as LangChain, LangGraph, Vertex AI, Claude SDK, or Microsoft Agent Framework
  • Experience with cloud platforms (Azure, AWS, or GCP) and containerization
  • Solid understanding of MLOps/LLMOps best practices
  • Strong communication and problem-solving skills

Experience Levels

  • Junior (1–2 years): Build agent tasks, develop and test prompts, support deployments
  • Mid-Level (3–5 years): Design workflows, optimize prompts, mentor junior engineers
  • Senior (5+ years): Architect multi-agent systems, define standards, lead large-scale deployments

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Scrum or Project Management certification is a plus
  • Immediate availability is advantageous
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