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Open nowPosted 8 days ago

Senior AI Engineer

MyCareersFuture94,028 open roles

Pay
SGD 9,300 – SGD 13,500 a month
Where
Central, Singapore
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Your applicationOpen nowSenior AI EngineerMyCareersFuture · Central, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 8 days ago

The posting

Your role

  • Develop AI solutions leveraging LLMs to improve productivity and deliver strong business impact.
  • Lead the end-to-end development lifecycle from ideation to deployment of AI-powered solutions across various domains.
  • Build scalable AI systems that support Omio’s global expansion goals.
  • Act as an evangelist for AI adoption by demonstrating clear value to stakeholders.
  • Collaborate with Business, Product, and Engineering teams to integrate AI into workflows and drive adoption.
  • Present models, results, and systems to both technical and non-technical audiences, including C-level stakeholders.

Qualifications

  • Minimum 6+ years of experience in developing complex models and algorithms.
  • Proven track record in designing and deploying production-grade AI solutions.
  • Strong communication and presentation skills, with the ability to influence non-technical stakeholders.
  • Self-motivated, independent contributor capable of driving initiatives with minimal guidance.
  • Prior experience deploying scalable AI and LLM-based solutions for real-time, high-performance systems is highly desirable.

Technical Skills and Knowledge

  • Expertise in building AI applications using large language models such as OpenAI, Claude, Gemini, LLaMA.
  • Experience with LLM orchestration frameworks like LangChain, LangGraph, vLLM, LMDeploy.
  • Strong programming skills in Java, Python, and SQL.
  • Familiarity with data preprocessing, feature engineering, model evaluation, MLOps, and LLMOps best practices.
  • Ability to construct Retrieval-Augmented Generation (RAG) systems for advanced AI workflows.
  • Proficiency in vector databases such as FAISS, Weaviate, Pinecone, Milvus.
  • Solid grasp of prompt engineering techniques to optimize LLM output.
  • Hands-on experience with cloud platforms like AWS, Google Cloud, or Azure.
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