Applied Data Scientist (AI/Web3)

TL;DR

Applied Data Scientist (AI/Web3): Building and optimizing AI systems and next-generation agentic trading features with an accent on LLM-powered pipelines and reasoning agent components. Focus on designing prompt engineering strategies, executing model evaluations, and shipping production-ready AI code for crypto markets.

Location: Remote (Asia)

Company

hirify.global is a leading global blockchain ecosystem and the world’s largest cryptocurrency exchange by trading volume and registered users.

What you will do

• Contribute to the design and development of LLM-powered pipelines for agentic trading, including reasoning agents and tool-use frameworks.
• Build and evaluate prompt engineering strategies and retrieval architectures for crypto-native data sources.
• Design and execute model evaluation experiments and define quality metrics for agent reasoning in financial contexts.
• Analyze agent performance in live trading scenarios, focusing on decision accuracy, latency, and reliability.
• Apply AI-native development practices using agentic coding tools to write Python code for strategy logic and data pipelines.

Requirements

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related technical field.
• Expected graduation in 2026 or 2027.
• Strong Python programming skills and experience using agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot Workspace).
• Foundational understanding of large language models, attention mechanisms, and reasoning models.
• Structured problem-solving approach and ability to operate independently on defined tasks.

Culture & Benefits

• Opportunity to shape the future of the leading blockchain ecosystem.
• Collaboration with world-class talent in a user-centric global organization with a flat structure.
• Autonomy to tackle unique, fast-paced projects in an innovative environment.
• Competitive salary and comprehensive company benefits.
• Flexible work-from-home arrangements.