AI Engineer Intern

6 days ago

Singapore Rewarding Talents International Full time $40,000 - $80,000 per year

About Client

My client is a leading digital asset trading firm and liquidity provider that aims to deliver exceptional risk-adjusted returns. With the combination of comprehensive mathematical analysis, extensive financial market knowledge, and cutting-edge technology solutions, their trading model has stood the test of time. They are the avant-garde within the market space in terms of systematic decision making, algorithmic execution and active risk management.

Responsibilities

  • Implement LLM agents in Python (tool use, function calling, orchestration, guardrails, evaluation loops).
  • Build and maintain MCP servers/clients that securely connect StarRocks and MySQL, market data feeds, and back-testing/risk analytics engines to LLMs.
  • Design and harden tool-invocation workflows so models can safely fetch data and compute results with auditing and least-privilege access.
  • Wrap financial/market databases (StarRocks, MySQL) with read-only, aggregated APIs for consistent model consumption.
  • Collaborate with quant researchers and engineers to integrate back-testing, risk, and analytics services into agent workflows.
  • Contribute to secure, scalable AI architectures with logging, cost telemetry, and optimization in mind.
  • Stay current with the LLM and MCP ecosystem; evaluate new tools, frameworks, and models.

Requirements

  • Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.
  • Strong programming skills in Python (typing/pydantic, asyncio, packaging, testing).
  • Very familiar with Linux (shell, processes, networking basics, permissions; comfort with debugging tools and scripting).
  • Familiarity with LLM APIs and frameworks (e.g., OpenAI, Anthropic, LangChain/Guidance/LlamaIndex or similar).
  • Good skills using GPT, GPT Codex, Claude Code, or GitHub Copilot to speed up development while maintaining code quality.
  • Basic understanding of the Model Context Protocol (MCP) or strong willingness to learn quickly.
  • Working knowledge of StarRocks and MySQL data modeling and query performance; ability to design safe read-only access patterns.
  • Experience with backend development in Python (FastAPI/Flask/Django); designing clean REST/WebSocket endpoints.
  • Understanding of containers (Docker); Kubernetes familiarity is a plus.
  • Strong problem-solving skills, curiosity, and eagerness to learn.
  • Solid communication skills; comfortable collaborating with cross-functional teams.

Nice to Have

  • Exposure to financial market data, backtesting pipelines, or risk/analytics systems.
  • Experience with observability (structured logging, tracing, metrics) and cost controls for LLM workloads.
    Familiarity with authN/authZ, API keys, and secrets management.

*Kindly note that only shortlisted candidates will be notified. Thank you.

Dylan Choo

Rewarding Talents International

EA License: 22S1387

EA Personnel: R2094227

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