AI Engineer (Data)
Kuala Lumpur, Kuala Lumpur, Malaysia
INR 1800K-3000K (estimate) Mid-level Full Time
Tasks
- Architect data structures and data warehouse access patterns
- Build retrieval and search systems using large language models
- Design AI agents for natural language data interaction
- Develop internal AI tools and workflow automations
- Establish evaluation monitoring and observability frameworks
- Implement retrieval context management tool calling and multi step reasoning
- Prototype evaluate and productionize AI driven solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Access patterns | Apache Airflow | Automated Quality | Automated Quality Assessment | Context Management | Cost Optimization | DBT | Data Architecture | Data Pipelines | Data Warehouse | Data Warehouse Access Patterns | Data Warehousing | Evaluation | Google BigQuery | Haystack | LLM orchestration | LLM-as-a-Judge | Langchain | Language Models | Large Language Models | Latency optimization | Llamaindex | Model Context Protocol | Model selection | Monitoring | Multi-step reasoning | Observability | PII protection | Prompt engineering | Prompt injection | Prompt injection mitigation | Python | Quality Assessment | Ragas | Retrieval-Augmented Generation | SQL | Tableau | Tool-Calling
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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