Software Research Assistant
Role description:
This is a hands-on opportunity to help build the backend infrastructure of an AI product at Binomial Technologies—an early-stage hedge fund startup blending research, automation, and innovation. You'll work directly with the CTO in a lean, fast-paced environment, contributing to the design and development of core systems behind a product with real commercial potential. This is a highly entrepreneurial role for someone who wants to gain firsthand experience building and launching applied AI tools from the ground up, with the freedom to propose, test, and design technical features. Position can convert to a full-time paid position, however this isn't guaranteed.
What we're looking for:
Background in Computer Science, Engineering, or a related technical field
Strong proficiency in Python and/or Java
Familiarity with MongoDB or similar NoSQL databases
Interest or experience in ML libraries and APIs (e.g., Transformers, OpenAI API, LangChain, Scikit-learn)
Ability to work independently and thrive in a self-directed, early-stage environment
Creative thinker comfortable navigating uncertainty and technical ambiguity
Bonus: Previous project experience in AI, backend systems, or startup settings
Key responsibilities:
Build and maintain backend services that support automation, data flow, and AI integrations
Collaborate directly with the CTO to design system architecture and test new features
Develop scripts, APIs, and internal tools to accelerate product development
Manage data pipelines and storage solutions using MongoDB or similar tools
Work in a tight feedback loop to iterate rapidly on real product needs
Occasionally support adjacent research efforts on the hedge fund or tooling side

