AI Engineering Intern – Agentic AI & MCP Systems

Role Overview

At Mirai Alpha, we're building an AI enabled wealth management platform for HNI and UHNI investors. Our vision isn't to build another chatbot or wrapper around an LLM; we're building intelligent systems that can reason, research, collaborate, and assist in making institutional-grade investment decisions. We believe the future belongs to AI agents, not isolated prompts.

Responsibilities

• Designing and building autonomous AI agents capable of reasoning and using tools.
• Building and integrating MCP (Model Context Protocol) servers.
• Developing multi-agent workflows where specialized agents collaborate to solve complex problems.
• Creating AI copilots for investment research, portfolio intelligence, internal operations, and client support.
• Building Retrieval-Augmented Generation (RAG) systems using vector databases and knowledge graphs.
• Integrating LLMs with APIs, financial datasets, and external tools.
• Evaluating AI systems for accuracy, reliability, latency, and cost.
• Experimenting with the latest advancements in AI and turning research into production-ready systems.

Requirements

• Genuine obsession with AI and building projects outside of college or work.
• Ability to stay updated with the latest AI releases and research.
• Commitment to writing clean, production-quality code.
• Strong desire for ownership and solving difficult engineering problems.
• Curiosity, consistency, and the ability to build.

Skills

• LLMs
• RAG
• Python
• MCP
• Vector Databases

Benefits

• Work directly with the founding team on production-grade AI systems.
• Opportunity to transition into a full-time role based on performance.
• Contribute to products combining finance and quantitative intelligence.