Jain Global is a global multi-strategy hedge fund which began trading in 2024, with offices in New York, Houston, London, Hong Kong, and Singapore. We operate across Macro, Fundamental Equities, Equity Arbitrage, Systematic, Credit, and Commodities, with APAC as a regional multi-strategy platform. Our teams combine rigorous research, technology, and engineering across a broad range of domains and workflows.
We are hiring AI Research Interns to build and evaluate AI-driven systems and applications across a variety of domains. The role focuses on implementing, extending, and stress-testing modern AI systems, including LLMs and agent-based frameworks, in practical real-world settings.
You will work closely with researchers and developers on implementation-heavy projects involving unstructured data processing, workflow automation, experimentation, and evaluation of LLM-based systems for practical research and engineering use cases.
The work is highly iterative and hands-on. Typical tasks include developing pipelines, analysing model behaviour, debugging failure modes, extending open-source frameworks, and evaluating robustness through testing and statistical analysis.
Example areas include:
Implementing and extending AI agent workflows and automation systems
Structuring, normalizing, and querying unstructured datasets (documents, reports, text)
Extending and adapting open-source AI frameworks to internal use cases
Prototyping research and data-processing tools
Evaluating model outputs for robustness, consistency, and practical usefulness
Responsibilities
Design, build, and iterate on AI-driven systems and workflows
Implement LLM pipelines, agent architectures, and supporting infrastructure
Extend and modify existing open-source frameworks where appropriate
Design and run experiments to evaluate robustness and real-world applicability
Work with structured and unstructured datasets
Background & Essential Qualifications
Currently pursuing (or recently completed) a Bachelor’s, Master’s, or PhD in:
