LLM Engineer

1 day ago

Petaling Jaya, Selangor, Malaysia MYEG SERVICES BERHAD Full time 60,000 - 120,000 per year

JOB DUTIES AND RESPONSIBILITIES

Integrations & Workflow Automation

  • Build and maintain integrations between chatbot systems and workflow platforms (Dify, n8n, LangGraph, LangChain, LangFlow, or AnythingLLM).
  • Implement automation triggers, task orchestration, and API routing for smooth AI workflows.

LLM & Agentic AI Development

  • Implement prompt engineering, RAG pipelines, multi-agent or autonomous agent frameworks, and Model Context Protocol (MCP) for context-aware, agentic AI workflows.
  • Prepare vector stores / knowledge bases and generate embeddings for retrieval-augmented generation (RAG) and contextual model queries.
  • Preprocess and integrate multimodal data (text, image or tabular) into AI workflows.

Backend & API Engineering

  • Design and expose ML services via Flask, FastAPI or any REST APIs for microservice architectures.
  • Use Docker/ Kubernetes, CI/CD pipelines, and Git for deployment and lifecycle management.

Model Monitoring & Governance

  • Monitor deployed models for performance drift, latency, and system reliability.
  • Ensure responsible AI practices: privacy compliance, bias mitigation, and transparent model behavior.

Collaboration & Agile Practices

  • Collaborate with software engineers, product managers, and domain experts to translate requirements into AI solutions.
  • Work within Agile & Scrum processes to deliver iterative and incremental value.

JOB REQUIREMENTS

Education

  • Bachelor's degree in Computer Science, AI/ML, Software Engineering, Data Science, or a related field.
  • Master's degree is a plus but not mandatory.

Experience

  • 1–3 years in software development, AI/ML engineering or backend integration.
  • Hands-on experience with LLM tools, RAG pipelines or embedding-based search.
  • Exposure to MLOps or AI deployment pipelines is a plus.

Technical Skills

  • Programming: Python
  • AI/ML Tools: LangChain, LangGraph, LangFlow, Dify, AnythingLLM, HuggingFace, OpenAI API
  • Vector Databases: FAISS, Pinecone, Milvus for vector store preparation and embeddings
  • Embedding Models: OpenAI Embeddings, HuggingFace models, other vectorization frameworks
  • Agentic AI & MCP: Multi-agent OR autonomous agents with Model Context Protocol (MCP) integration
  • Backend APIs: Flask, FastAPI (REST APIs)
  • DevOps & Deployment: Docker, Kubernetes, CI/CD pipelines, Git version control
  • Data Processing: Structured, unstructured, multimodal data workflows
  • Model Evaluation: Metrics for accuracy, latency, hallucination rate, and production readiness.

Job Types: Full-time, Permanent

Pay: RM3, RM6,000.00 per month

Benefits:

  • Health insurance
  • Opportunities for promotion
  • Professional development

Application Question(s):

  • Do you have experience of AI Model testing?

Experience:

  • Quality assurance: 1 year (Preferred)

Work Location: In person

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