at Jump
Proprietary TradingPosted 3 days ago
No clicks
**AI Infrastructure Engineer | Jump Trading Group** - Lead AI production layer, ensure reliability and scalability - Collaborate with research, platform, and trading teams - Scale, protect, and improve AI systems' critical workflows - 5+ years of production system building and operation - Proficient in Python, skilled in systems languages (Linux) - Experience in agentic systems, context engineering, and harness design - Strong product instincts, customer focus, and ops mentality - Apply for�This role requires exceptional talent, intellectual curiosity, and a proven track record in AI infrastructure engineering. Applicants should be comfortable operating at scale, ensuring high availability, and improving systems' reliability. Enthusiasm for collaboration, learning, and driving innovation is a must. Jump Trading Group offers competitive compensation, discretionary bonuses, and comprehensive benefits. Apply today to join our empowering and innovative culture.
- Compensation
- $200,000 – $250,000 USD
- City
- Not specified
- Country
- Not specified
Currency: $ (USD)
Full Job Description
Our AI team is an R&D group of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump. Our mission is to combine emerging techniques and original research to generate signals from unstructured data and to put frontier AI capabilities into the hands of the people doing the most demanding quantitative work in the world. Our remit is broad and growing, spanning model research, agentic systems, and the platforms that bring them into daily use, and we want our researchers and traders to experience these capabilities as a seamless and dependable extension of how they already work.
What Youll Do:
We are seeking an infrastructure engineer to own the production layer for AI capabilities deployed across trading teams. The ideal person for this role will combine strong systems instincts with engineering taste and a clear product sense, and will be capable of turning a fast-moving set of AI capabilities into reliable, scalable services for demanding internal users. You will partner with the research and platform groups to bring their work into production, and with trading teams to ensure that what we ship meets stringent operational requirements.
Responsibilities include hardening and scaling the systems that deliver AI to internal users, designing and operating dedicated pathways that protect critical-path workflows from contention with heavier non-trading workloads, and continuously improving the reliability and breadth of the AI platform. You will also play a central role in how context, tools, and agentic flows are composed at scale.
Other duties as assigned or needed.
Skills Youll Need:
- 5+ year track record of building and operating production systems at meaningful scale
- Bachelors degree in Computer Science, Computer Engineering or related field
- Strong development skills in Python, with working knowledge of at least one systems language
- Deep Linux fluency and a sharp sense for how distributed systems fail under load
- Hands-on experience with agentic systems, context engineering, and harness design
- Product instinct and a customer view when building tooling for sophisticated internal users
- A taste for ops work and an appetite for keeping critical systems healthy
- Intellectual curiosity and a strong bias toward shipping
- Reliable and predictable availability
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
