
AI Research Automation Specialist
2 weeks ago
A GenAI Engineer will build LLM-powered agents to automate research and analysis tasks, develop search pipelines and RAG systems for financial data, deploy production-ready solutions on cloud infrastructure, and collaborate closely with ex–sell-side analysts and AI engineers.
Responsibilities:- Build and train Large Language Models (LLMs) to automate research and analysis tasks.
- Design and implement search pipelines to efficiently retrieve relevant financial data.
- Deploy and maintain production-ready solutions on cloud infrastructure.
- Collaborate with a team of experienced analysts and engineers to deliver high-quality features.
- Recent graduate or 1–2 years of experience in software/AI engineering.
- Strong coding skills in Python or TypeScript.
- Familiarity with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Haystack).
- Exposure to search and RAG pipelines (keyword + vector embeddings).
- A GitHub portfolio or projects demonstrating hands-on GenAI builds.
- Work with a team that combines deep finance expertise and cutting-edge AI engineering.
- Opportunity to grow with a company redefining financial research workflows.
- High ownership, rapid iteration, and direct user impact in a startup environment.
- Chance to build world-class AI products shaping the future of equity research.
Apply with your resume and GitHub repositories. This opportunity includes a coding assignment to build an LLM application, with an expected turnaround time of 5 days. Please apply only if you are willing to complete this test.
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