We are a fast-moving fintech startup building an AI-first quantitative research and trading platform. Our mission is to compress the distance between idea → backtest → execution using intelligent agents, high-performance infrastructure, and clean data pipelines.
We move quickly, ship real systems, and care about people who actually build — not just talk.
* Role Overview
We are looking for a hungry, hands-on AI Agent Intern who is deeply curious about AI and has already built real projects using modern AI tools (LLMs, agents, automation workflows, etc.).
This is not a theory role. You will work directly on production-grade agent systems used in quantitative research, trading workflows, and financial intelligence tools.
If you spend your free time building with APIs, chaining LLMs, or experimenting with agent frameworks — you will fit right in.
* What You’ll Work On
You will help design, build, and improve AI-driven systems such as:
Multi-agent research and analysis pipelines
LLM-powered financial assistants
Autonomous data extraction and processing agents
Prompt pipelines and evaluation frameworks
AI tooling for traders and quants
Workflow automation across our fintech stack
You will be expected to ship real code and iterate fast.
* Responsibilities
Build and experiment with AI agent workflows
Prototype and ship LLM-powered tools
Design prompts and improve agent reliability
Integrate AI systems with internal data pipelines
Help evaluate model outputs and reduce hallucinations
Work closely with quant and engineering teams
Document experiments and findings clearly
* Requirements
Must-have:
Strong interest and passion in AI/LLMs/agents
Has built real AI projects (GitHub or demo required)
Comfortable with Python
Familiar with at least some of the following:
OpenAI / Anthropic / LLM APIs
LangChain / LangGraph / agent frameworks
Prompt engineering
API integrations
Basic data handling
Nice to have (not required):
Experience with financial data or trading
Experience with vector databases
Experience with workflow orchestration
Experience with C++ or performance systems
Experience deploying AI systems in production
* Who Will Thrive Here
We are specifically looking for someone who:
Builds projects outside of school/work
Learns new tools obsessively fast
Is comfortable working in ambiguity
Ships fast and iterates
Is curious about finance and markets
Takes ownership instead of waiting for instructions
If your GitHub is empty, this role is probably not for you.
* Internship Details
Duration: 6-12 months (flexible)
Compensation: Competitive internship stipend
Potential full-time conversion within 6 months for strong performers
High ownership and real production exposure
Kindly note that only shortlisted candidates will be notified.
Related Job Searches:
- Company:
Varsity Tech - Designation:
AI Agent Engineering Intern (Fintech) - Profession:
Engineering - Industry:
Finance - Location:
Downtown Core
