Job Description

Core Technical Skills

Cloud & Infrastructure

Google Cloud Platform (GCP) expertise Vertex AI: fine-tuning, orchestration, and deployment of LLMs. BigQuery, Cloud SQL, Dataplex for structured/unstructured data integration.

AI & Agent Systems

Agent Frameworks Experience with LangChain, CrewAI, or AutoGen-style multi-agent orchestration. Understanding of MCP (Model Context Protocol) and interoperability standards.

Model Integration

Deploying and orchestrating models across Anthropic Claude, OpenAI, and opensource LLMs.

Data & Process Architecture

Semantic Data Modeling (RDF, OWL, GraphDB/Stardog). Vector databases (Weaviate, Pinecone, Chroma) for retrieval-augmented generation.

Experience

7-10+ years in software engineering, with proven enterprise-grade system delivery. Track record in building platforms (not just apps) - preferably AI/ML or orchestration systems. Demonstrated Google Cloud architecture design and production deployment. Experience with agent-based AI applications in at least one production use case. Prior work with multi-agent frameworks or research in autonomous workflows is a plus. Familiarity with MAS failure patterns (coordination, specification, weak verification) and mitigation strategies .
Job Type: Contract
Contract length: 12 months

Pay: RM15,000.00 - RM18,000.00 per month

Benefits:

Professional development
Experience:

software engineering: 8 years (Required) AI/ML or orchestration systems: 7 years (Required) agent-based AI applications: 6 years (Required) Google Cloud infrastructure setup: 7 years (Required)
Work Location: Remote