jobs in Agmo Studio Sdn Bhd

Kerja Sepenuh Masa AI Software Engineer, Gaji tinggi MYR 6,000 di Agmo Studio Selangor - Maukerja

AI Software Engineer

Agmo Studio Sdn Bhd

MYR4,000 - MYR6,000 Sebulan

Sepenuh Masa

Petaling Jaya, Selangor

Kongsi
Simpan

Lokasi Kerja

  • Petaling Jaya Selangor Malaysia

Penerangan Kerja

Kelayakan

  •  Education
    • Degree or Diploma in Computer Science, Software Engineering or a related field.

  • Experience
    • Minimum 3 years of software development experience with proficiency in Python and Node.js/JavaScript.
    •  1+ years of hands-on experience building LLM-based AI applications.
    • Demonstrable experience with RAG architectures, including document ingestion, chunking strategies, and retrieval optimization.
    • Practical experience with vector databases (e.g., Pinecone, Weaviate, Milvus, or similar) or graph databases (e.g. Neo4j) for knowledge graph construction and querying.
    • Fresh graduates are welcome to apply.

  • Knowledge
    • Strong understanding of LLM application fundamentals and Agentic AI / Workflow architectures.
    • Proficiency with LLM frameworks such as LangChain, LlamaIndex, or similar orchestration tools.
    • Experience with cloud AI services, particularly Azure AI Foundry and AWS Bedrock.
    • Understanding of API design, microservices architecture, and distributed systems.
    • Knowledge of version control (Git) and CI/CD practices.

  • Key Competencies
    • Fast Learner: Quickly grasp new concepts, frameworks, and technologies in the rapidly evolving AI landscape.
    • Self-Learner: Proactively seek out new knowledge, experiment with emerging tools, and stay current with AI research and industry trends.
    • Problem Solver: Analytical mindset with the ability to break down complex problems and develop effective solutions.
    • Communication: Clear communicator who can articulate technical concepts to both technical and non-technical stakeholders.

  • Tools Used
    • Programming Languages: Python, Node.js/JavaScript
    • Cloud AI Platforms: Azure AI Foundry, AWS Bedrock
    • Vector Databases: Pinecone, Weaviate, Milvus, or similar
    • Graph Databases: Neo4j
    • AI Frameworks: LangChain, LlamaIndex, Hugging Face Transformers
    • Development Tools: Git, Docker, CI/CD pipelines
    • Additional: RESTful APIs, Microservices Architecture

  • Nice to Have
    • Experience with fine-tuning LLMs for domain-specific applications.
    • Familiarity with LLMOps/MLOps practices and model deployment pipelines.
    • Experience with prompt engineering and evaluation frameworks.

  • What You Might Excel At
    • AI Solution Architecture: Designing and implementing end-to-end AI systems that are scalable, maintainable, and production-ready.
    • Technology Exploration: Identifying and evaluating emerging AI tools and frameworks to keep our stack at the cutting edge.
    • Cross-Team Collaboration: Working seamlessly with engineering, product, and design teams to deliver AI-powered features that meet user needs.
    • Continuous Innovation: Driving AI initiatives forward through self-directed learning, experimentation, and knowledge sharing.

Tanggungjawab

Role Overview

We’re looking for an AI Software Engineer to join our team. You’ll play a key role in architecting and developing LLM-based AI solutions that drive innovation across our products. You thrive in a fast-paced environment, are passionate about cutting-edge AI technologies, and take initiative in exploring and implementing novel solutions. You’re proactive, self-driven, and excited about building AI- powered applications that impact users’ daily life.

Key Responsibilities

  • Architect, develop, and deploy AI solutions such as GenAI.
  • Design and implement systems for knowledge-intensive AI applications such as Retrieval-Augmented Generation (RAG).
  • Explore, evaluate, and adopt emerging AI frameworks, tools, and technologies to maintain competitive advantage.
  • Build and optimize vector database and graph database solutions for semantic search and knowledge representation.
  • Integrate AI capabilities with cloud platforms such as Azure AI Foundry and AWS Bedrock.
  • Collaborate with product teams to identify opportunities for AI-driven feature enhancement.
  • Develop and maintain scalable, production-ready AI systems with robust monitoring and evaluation.
  • Document technical approaches, share knowledge, and contribute to the AI engineering culture.

Peringatan Penting

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