AI Engineer - Capital Markets Trading Intelligence

VISEO ASIA; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

Descripción de la vacante

VISEO ASIA is building an AI-powered tool that automatically delivers real-time trading information and insights for institutional clients, private banking, and wealth management. The role sits at the intersection of capital markets and applied AI.

You will design and implement end-to-end AI systems, integrate live data feeds, and benchmark performance to support phased rollouts across client segments.

Formación

• Minimum Bachelors degree in IT/Computer Science or other relevant discipline.
• Strong capital markets domain knowledge: you need to understand trading concepts, market data, and institutional/private banking workflows
• Hands-on experience post-training or fine-tuning LLMs
• Experience building RAG systems, ideally against enterprise/internal data sources
• Familiarity with MCP or similar protocols for connecting LLMs to live external data
• Experience designing evaluation frameworks and benchmarks for LLM-based systems
• Comfort working in a fast-moving, ambiguous environment building something genuinely novel

Responsabilidades

• Design and build an AI system that surfaces trading information automatically, tailored to institutional, private banking, and wealth management users
• Implement MCP (Model Context Protocol) integrations to connect the system to live trading data feeds
• Build RAG (Retrieval-Augmented Generation) pipelines against internal banking systems to ground outputs in proprietary data
• Perform post-training (fine-tuning / adaptation) on an existing LLM to specialize it for capital markets use cases
• Design, build, and run benchmarks to evaluate model performance against real-world trading and banking use cases
• Own the rollout strategy across client segments, iterating based on feedback from each phase (institutional → private banking → wealth management)

Conocimientos

Capital markets knowledge

LLM fine-tuning

RAG systems

MCP protocols

Evaluation frameworks

Educación

Bachelor's degree in IT/CS

Descripción del empleo

We're building an AI-powered tool that automatically delivers real-time trading information and insights, starting with rollout to institutional clients before expanding to private banking and wealth management. This is a high-visibility, cutting-edge role at the intersection of capital markets and applied AI.

Responsibilities

• Design and build an AI system that surfaces trading information automatically, tailored to the needs of institutional, private banking, and wealth management users
• Implement MCP (Model Context Protocol) integrations to connect the system to live trading data feeds
• Build RAG (Retrieval-Augmented Generation) pipelines against internal banking systems to ground outputs in proprietary data
• Perform post-training (fine-tuning / adaptation) on an existing LLM to specialize it for capital markets use cases
• Design, build, and run benchmarks to evaluate model performance against real-world trading and banking use cases
• Own the rollout strategy across client segments, iterating based on feedback from each phase (institutional → private banking → wealth management)

Profile

• Minimum Bachelors degree in IT/Computer Science or other relevant discipline
• Strong capital markets domain knowledge: you need to understand trading concepts, market data, and institutional/private banking workflows
• Hands-on experience post-training or fine-tuning LLMs
• Experience building RAG systems, ideally against enterprise/internal data sources
• Familiarity with MCP or similar protocols for connecting LLMs to live external data
• Experience designing evaluation frameworks and benchmarks for LLM-based systems
• Comfort working in a fast-moving, ambiguous environment building something genuinely novel