Position
Senior AI Engineer (Generative AI / Agentic AI)
Location
Kuala Lumpur
Employment Type
Permanent / Full-Time
Salary Range
Up to RM8,000 (flexible for candidates with strong Agentic AI experience)
Overview
We are looking for a Senior AI Engineer with strong hands-on experience in Generative AI technologies to design, develop, and optimize AI-powered applications and intelligent automation solutions. The ideal candidate must have solid experience in LLMs, RAG architectures, and Vector Databases, with exposure to Agentic AI frameworks being a strong advantage.
This role focuses specifically on Generative AI and Agentic AI solutions rather than traditional machine learning or predictive AI models.
Key Responsibilities
- Design, develop, and deploy Generative AI applications using Large Language Models (LLMs)
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise AI solutions
- Integrate and manage Vector Databases for semantic search and contextual retrieval
- Develop AI agents and multi-agent workflows for automation and intelligent task execution
- Fine-tune prompts, retrieval strategies, and AI orchestration pipelines to improve response quality and performance
- Collaborate with cross-functional teams including software engineers, product owners, and business stakeholders
- Evaluate and implement emerging Gen AI and Agentic AI frameworks, tools, and best practices
- Ensure scalability, security, and reliability of AI solutions in production environments
- Prepare technical documentation and provide technical guidance to junior team members
RequirementsMandatory Skills
- Minimum 6 years of experience in software engineering, AI engineering, or related fields
- Strong hands-on experience with:
- Large Language Models (LLM)
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- Experience developing and integrating Gen AI applications using modern AI frameworks and APIs
- Strong programming experience in Python
- Experience with cloud platforms and API integrations
- Good understanding of prompt engineering, embeddings, semantic search, and AI workflows
Preferred / Advantageous Skills
- Experience with Agentic AI frameworks and AI orchestration tools
- Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks
- Familiarity with vector databases such as Pinecone, Weaviate, ChromaDB, Milvus, or FAISS
- Experience deploying AI solutions on AWS, Azure, or GCP
- Exposure to MLOps / LLMOps practices
Candidate Profile
- Strong problem-solving and analytical skills
- Able to work independently and collaboratively in fast-paced environments
- Strong communication and stakeholder management skills
- Passionate about emerging AI technologies and innovation