Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

We are growing our engineering-focused R&D group dedicated to building next- generation AI tools and automation for developers and quantitative researchers. This team partners closely with platform and infrastructure engineers to shape robust, agent-enabled tooling used by trading and research groups across Jump.

What You’ll Do:

Architect, build, and maintain LLM-powered and agent-based tools to streamline developer workflows and automate complex tasks.
Collaborate with core platform and infrastructure teams to identify use cases and deliver reliable, scalable solutions.
Apply best practices in prompt engineering, tool/plugin integration, access control, and observability.
Take ownership throughout the product lifecycle, from prototyping to deployment, rollout, and documentation.
Champion modern engineering standards and help drive continuous improvement across Jump’s diverse tech landscape.
Other duties as assigned or needed.

Skills You’ll Need:

At least 1–2 years of professional software engineering experience (internships or significant project work considered).
Fluency in Python, with experience integrating LLM APIs or building with agent/automation frameworks.
Understanding of operating systems, networking, automation, and core software engineering fundamentals.
Strong analytical and problem-solving skills, focused on developer experience and usability.
Familiarity with Linux and version control tools.
Reliable and predictable availability.

Bonus:

C++ experience.
Exposure to developer infrastructure (Docker, CI/CD, observability platforms).
Interest or experience in agent systems or secure enterprise automation.

Software Engineer - AI Tooling