Our Client is one of the a leading digital asset trading houses that aims to deliver exceptional risk-adjusted returns. They are the avant-garde within the market space in terms of systematic decision making, algorithmic execution and active risk management.

On behalf of our client, we are seeking a highly motivated AI Engineer Intern with a strong interest in Large Language Models (LLMs) and system integration. This role centers on implementing LLM agents and MCP (Model Context Protocol) servers/clients in Python to power AI workflows. Outstanding interns may be offered the opportunity to convert to a full-time position.

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 backtesting/risk analytics engines to LLMs.
• Design and harden tool-invocation workflows so models can safely fetch dataand 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 backtesting, 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.

Compensation & Growth

• Competitive internship compensation.
• Hands-on experience with cutting-edge AI + fintech projects.
• Opportunity to contribute to production-grade agents and MCP integrations.
• Potential to convert to a full-time AI Engineer role upon successful completion of the internship.

We regret that only shortlisted Candidates will be notified

EA License No.: 22S1387

Registration No.: R1544028