Overview

We’re building a next-generation agenting SDK for our fintech platform, leveraging Large Language Models (LLMs) to enable intuitive, natural language interaction with financial data. As part of this effort, we’re extending our LLM engineering team to build and refine our hosted product experience. You’ll collaborate with experienced engineers in a fast-paced, agile environment, contributing to high-impact features and publishing your work through technical blogs and internal showcases.

Responsibilities:
  • Enabling natural language interactions with our data systems
  • Implementing agents for dynamic code generation and custom query creation
  • Converting user queries into scheduled, automated reporting workflows
  • Extending LLM-powered capabilities for OneTick Cloud integration
Required Qualifications:
  • 2–4 years of experience in software development with strong Python 3 skills
  • Enthusiasm for LLMs, AI-driven tools, and turning ideas into business impact
  • Bachelor’s degree (or higher) in Computer Science or related technical field
  • Strong spoken, written and reading English skills is required
  • A collaborative mindset with an ability to work in an agile, fast-moving team
Benefits:
  • Join a senior team passionate about building at the frontier of LLMs and fintech
  • Work in a dynamic environment with fast release cycles and tangible product impact
  • Share your work with the broader tech community through published articles. Our publications on Medium.
  • Influence the future of data-driven decision making in finance
Nice To Have:
  • Experience with LLM frameworks (Langchain, OpenAI APIs)
  • Familiarity with Dockerized development environments
  • Experience with Apache Airflow or similar workflow tools
  • Exposure to financial data platforms and query systems like OneTick
  • Evaluation design experience for LLM systems
Note:

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