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AI Engineer

Hiredly X

RECRUITMENT firm

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AI-generated summary

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This job is about creating smart AI systems that help businesses run smoothly. You might like this job because you'll be building tools that enhance production and supply chains while working with the latest AI technologies and collaborating with various teams.

RM 6000 - RM 7000

Sri Petaling, Kuala Lumpur

Job Description

  • Agentic AI Development: Design, build, and optimize AI agents capable of reasoning, planning, and executing tasks within ERP/MES environments.
  • Integration with ERP/MES Systems: Ensure seamless interaction between AI agents and core ERP/MES modules (procurement, warehouse, production, sales, etc.).
  • AI Architecture & Frameworks: Architect scalable AI frameworks that balance performance, reliability, and cost-efficiency (e.g., token-controlled architecture).
  • Applied Machine Learning: Train, fine-tune, and optimize models (LLMs, RAG, multi-agent systems) for domain-specific tasks in manufacturing and supply chain operations.
  • Experimentation & Research: Stay ahead of emerging AI technologies (LangGraph, MCP, agent orchestration frameworks, RPA, etc.) and evaluate their practical adoption.
  • Testing & Validation: Ensure AI models and agents are rigorously tested for accuracy, stability, and enterprise readiness.
  • Collaboration: Work closely with product, engineering, and business teams to translate requirements into intelligent system design.

Job Requirements

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 4–5 years of hands-on experience in AI/ML engineering, with proven experience in building AI-driven applications.
  • Strong background in machine learning, NLP, LLMs, or multi-agent systems.
  • LangGraph expertise: Built production-ready graphs with multi-agent workflows, conditional logic, checkpointers, and error handling.
  • LangGraph expertise: Designed tool nodes for ERP/MES actions with idempotency, retries, and observability (token usage, latency, cost).
  • LangGraph expertise: Implemented policy/routing nodes (RBAC checks, approval gates, cost controllers).
  • Context Engineering skills: Architected retrieval pipelines (BM25 + embeddings + metadata filters) with tenant-level security and domain-specific chunking (SOPs, BOMs, routings, QC docs).
  • Context Engineering skills: Designed memory layers (working scratchpads, session summaries, long-term semantic knowledge).
  • Context Engineering skills: Built grounded tool schemas (strict JSON, validators, reconciliation with ERP ledgers).
  • Context Engineering skills: Applied cost & performance controls (caching, rerankers, token budgeting, tiered model routing).
  • Proficiency in Python (PyTorch, TensorFlow, LangChain, RAG pipelines).
  • Experience deploying on cloud platforms (AWS, GCP, or Azure) with Docker/Kubernetes.
  • Familiarity with Agile methodologies and ability to drive Agile AI development practices.
  • Entrepreneurial mindset: resourceful, adaptable, and driven to create impactful solutions with limited resources.

Skills

Agentic AI
LLM Application

Additional Info

Company Activity

Last active - few minutes ago

Career Level

Senior Executive

Job Specialisation


Company Profile

Hiredly X-logo-image

Hiredly X

Hiredly X, the headhunting team of Hiredly, makes headhunting accessible and affordable for every employer, no matter the size or industry. We help employers screen and source the best candidates through exclusive access to our job portal database.Assisted with AI, we make the headhunting process fast and accurate, allowing us to be competitive with our fees.