AI Infrastructure Engineer

Jump Trading

$200K — $250K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in building and managing production systems at scale.
  • Bachelor's degree in Computer Science, Computer Engineering, or a related field.
  • Strong skills in Python and familiarity with another systems programming language.
  • Deep understanding of Linux and how distributed systems fail under heavy load.
  • Hands-on experience with agentic systems and context engineering.
  • Ability to develop products with a strong customer perspective for internal users.
  • Passion for operational tasks and system reliability.

Responsibilities

  • Own the production infrastructure for AI capabilities within trading teams.
  • Design and implement robust pathways to protect critical trading workflows.
  • Harden and scale systems that deliver AI tools to internal users.
  • Continuously improve the reliability and functionality of the AI platform.
  • Collaborate with research and platform teams to transition projects into production.
  • Ensure all deployments meet strict operational requirements.
  • Participate in the design of tools and workflows for internal clients.

Benefits

  • Discretionary bonus eligibility.
  • Health, dental, and vision insurance options.
  • Flexible spending accounts (FSA) and health savings accounts (HSA) available.
  • Employer-paid life and accident insurance.
  • Voluntary life and AD&D insurance options.
  • Generous paid vacation and holiday leave.
  • Retirement savings plan with matching contribution.
  • Paid parental leave for employees.
  • Wellness programs to support employee health.
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 You'll 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 You'll Need:
  • 5+ year track record of building and operating production systems at meaningful scale
  • Bachelor's 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

Annual Base Salary Range

$200,000-$250,000 USD

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