Agentic AI Data Engineer for Trading Surveillance

Luxoft; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Luxoft is seeking AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance in Singapore. The ideal candidate will have a strong PySpark background and hands-on experience constructing Agentic AI pipelines for code conversion from Q KDB to PySpark.

The role involves designing, developing, and maintaining full-stack Python applications, building RAG systems, and implementing scalable data infrastructure to support AI workloads.

Qualifications

• 5+ years of AI/ML solution implementation
• 3+ years of Pyspark for high-volume data processing
• Proficient in Pyspark coding, lazy evaluation and window functions
• SQL proficiency and query optimization

Responsibilities

• Design, develop, and maintain full-stack Python applications with modern frontend frameworks
• Build and optimize RAG systems for AI applications
• Create and implement vector databases and knowledge stores
• Develop APIs that connect frontend interfaces with backend AI services
• Implement and maintain CI/CD pipelines for AI applications
• Monitor application performance and troubleshoot issues in production
• Design and maintain data pipelines, ETL/ELT workflows, and data infrastructure

Skills

Pyspark

AI/ML solution design

Full-stack AI integration

LLMOps observability

SQL proficiency

Data engineering

GitHub Copilot

Tools

GitHub Copilot

Pyspark coding

Job description

Luxoft is seeking AI Engineers for a strategic initiative to build Agentic AI use cases around Trading Surveillance in Singapore. The ideal candidate will have a strong PySpark background and hands-on experience constructing Agentic AI pipelines for code conversion from Q KDB to PySpark.

The role involves designing, developing, and maintaining full-stack Python applications, building RAG systems, and implementing scalable data infrastructure to support AI workloads.