AI Engineer

Agensi Pekerjaan Penta Consultancy Sdn. Bhd; Kuala Lumpur; In loco; MYR 100.000 - 210.000; Tempo pieno

Descrizione del lavoro

Agensi Pekerjaan Penta Consultancy Sdn. Bhd is seeking a backend AI engineer to develop, deploy, and maintain AI-enabled services and APIs.

You will build AI/data workflows using Databricks, manage environment-aware deployments with Asset Bundles, and integrate LLMs for various use cases including summarization and conversational AI. You will collaborate with product, data, and platform teams to translate business requirements into scalable AI solutions, support model integration, API testing,

Competenze

• Hands-on Python for backend and AI development.
• Experience with Databricks notebooks, jobs, and deployment.
• Experience integrating and using LLMs via APIs (Gemini, Claude, GPT).
• Experience building RESTful APIs using Python frameworks like FastAPI.

Mansioni

• Develop, deploy and maintain AI-enabled backend services and APIs.
• Build and manage AI/data workflows using Databricks, including Asset Bundles for environment-aware deployments.
• Integrate LLMs for summarization, classification, retrieval-augmented generation, and conversational AI.
• Collaborate with product, data, and platform teams to translate requirements into scalable AI solutions.
• Support model integration, API testing, logging, monitoring, and performance optimization.
• Follow secure coding practices and contribute to governance, handover, and audit readiness.

Conoscenze

Python

Databricks

LLMs

REST APIs

FastAPI

Cloud architecture

ML concepts

AI lifecycle

Debugging

Agile

Communication

Responsible AI

Strumenti

Databricks Asset Bundles

Descrizione del lavoro

• 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-augmentedgeneration (RAG), and conversational AI.
• Collaborate with product, data, and platform teams to translate businessrequirements into scalable AI solutions.
• Support model integration, API testing, logging, monitoring, and performanceoptimization.
• Follow secure coding practices and contribute to documentation to supportgovernance, 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.
• 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.