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Open nowFirst seen 5 days ago

AI Engineer

Agensi Pekerjaan Penta Consultancy Sdn. Bhd101 open roles

Where
Kuala Lumpur, Malaysia
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Your applicationOpen nowAI EngineerAgensi Pekerjaan Penta Consultancy Sdn. Bhd · Kuala Lumpur, Malaysia
  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 Agensi Pekerjaan Penta Consultancy Sdn. Bhd's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

The posting

Job Responsibilities:

  • Develop, deploy and maintain AI-enabled backend services and APIs.
  • Build, deploy, and manage AI and data workflows using Databricks, including use of Databricks Asset Bundles for environment-aware deployments.
  • Integrate and consume Large Language Models (LLMs) (e.g. Gemini, Claude, GPT) for use cases such as summarization, classification, retrieval-augmented generation (RAG), and conversational AI.
  • Develop lightweight front-end or integration components using JavaScript to support AI-driven user experiences.
  • Collaborate with product, data, and platform teams to translate business requirements into scalable AI solutions.
  • Support model integration, API testing, logging, monitoring, and performance optimization.
  • Follow secure coding practices and contribute to documentation to support governance, handover, and audit readiness.

Job Requirements:

  • Hands-on experience with Python for backend and AI-related development.
  • Experience working with Databricks, including notebooks, jobs, and deployment using Databricks Asset Bundles.
  • Practical experience integrating and utilizing Large Language Models (LLMs) such as Gemini, Claude, or GPT via APIs.
  • Experience building RESTful APIs using FastAPI or similar Python frameworks.
  • Working knowledge of JavaScript for UI integration or service consumption.
  • Familiarity with cloud-based AI/data architectures and API-driven systems.
  • Solid understanding of machine learning and AI concepts, including model inference, prompting, embeddings, and evaluation techniques.
  • Experience across the AI development lifecycle, including development, testing, deployment, and monitoring.
  • Strong analytical, troubleshooting, and debugging skills.
  • Ability to write clean, maintainable, and well-documented code.
  • Experience working in Agile/Scrum delivery environments.
  • Good communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Awareness of model risk, data privacy, and responsible AI practices and considerations.
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