At a Glance
- Tasks: Build and maintain AI tools to streamline workflows and automate tasks.
- Company: Join Jump Trading Group, a leader in innovative financial technology.
- Benefits: Enjoy competitive salary, health insurance, paid leave, and wellness programs.
- Other info: Dynamic team with opportunities for growth and innovation.
- Why this job: Make an impact with cutting-edge tech in a collaborative environment.
- Qualifications: 2+ years in software engineering, fluent in Python, and strong problem-solving skills.
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:
- 2+ years of professional software engineering experience
- 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
Benefits:
- Discretionary bonus eligibility
- Medical, dental, and vision insurance
- HSA, FSA, and Dependent Care options
- Employer Paid Group Term Life and AD&D Insurance
- Voluntary Life & AD&D insurance
- Paid vacation plus paid holidays
- Retirement plan with employer match
- Paid parental leave
- Wellness Programs
Annual Base Salary Range: $175,000–$250,000 USD
How to Apply: Interested in this position? Please submit your resume and cover letter through the application portal.
Software Engineer – AI Tooling employer: Jump Trading
Jump Trading is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for aspiring quantitative traders. With a focus on empowering talent through intensive training and mentorship, interns will gain hands-on experience in developing predictive models and automated trading strategies while working alongside industry experts. Located in a dynamic environment, Jump offers unique opportunities for personal and professional growth, ensuring that every team member can thrive and contribute to groundbreaking research in financial markets.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer – AI Tooling
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Jump Trading or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Jump Trading.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Jump Trading.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Jump Trading that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Engineer – AI Tooling
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Jump Trading.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jump Trading and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Jump Trading
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Jump Trading uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
