Research Engineer AI Agents
Jump Trading is a global trading firm.
About Jump Trading
Jump Trading is a global trading firm focused on research-driven trading and the engineering of scalable models, tools, infrastructure, and execution systems. Its operations combine trading, technology, AI/ML, and quantitative research, and it also runs research and talent programs including conference travel grants and a fellowship program.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will architect, build, and maintain LLM-powered and agent-based tools that improve developer workflows and automate complex tasks. You will collaborate with platform and infrastructure engineers, integrate prompts and tools, apply access-control and observability practices, and take products from prototypes through deployment, rollout, and documentation.
Requirements
- 2+ years of professional software engineering or applied AI experience
- Proficiency in Python
- Experience integrating LLM APIs, building AI-powered applications, or working with agent or automation frameworks
- Understanding of operating systems, networking, automation, and software engineering fundamentals
- Analytical and problem-solving skills focused on developer experience and usability
- Communication and interpersonal skills
- Familiarity with Linux and version control tools
- Reliable and predictable availability
Responsibilities
- Architect, build, and maintain LLM-powered and agent-based tools
- Streamline developer workflows and automate complex tasks
- Collaborate with platform and infrastructure teams to identify use cases and deliver scalable solutions
- Apply prompt engineering, tool and plugin integration, access control, and observability practices
- Own the product lifecycle from prototyping through deployment, rollout, and documentation
- Champion modern engineering standards and continuous improvement