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Qube Research & Technologies

Senior AI Delivery Engineer

Qube Research & Technologies · New York, Chicago

Posted about 3 months ago · $180,000 to $300,000

or apply directly on Qube Research & Technologies's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
Qube Research & Technologies's roles stay open a median of 81 days
Reposted
No
Salary listed
Yes
8% of Qube Research & Technologies's roles list one
Ghost-job risk at Qube Research & Technologies
high
196 stale, 1 reposted of 202 open
Hiring momentum
252 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Qube Research & Technologies's own greenhouse board since 2026-08-03. Full hiring picture for Qube Research & Technologies.

About this role

As a Senior AI Delivery Engineer at Qube Research & Technologies, you will collaborate with engineers, quantitative researchers, and data scientists to enhance software delivery through AI coding tools. Your role involves identifying opportunities for improvement, building automation tools, and integrating AI into existing workflows while maintaining high engineering standards. You will take ownership of projects from problem definition to production deployment, ensuring effective communication with various stakeholders.

Our read on this posting3.2out of 5
benefits
2/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Qube Research & Technologies as an employer.

What you need

  • Significant software engineering experience within a quantitative hedge fund, systematic trading firm or similarly demanding engineering environment
  • Strong programming skills in one or more modern languages
  • Hands-on experience using AI coding agents or LLMs to deliver production software
  • Proven ability to solve ambiguous problems and deliver practical solutions independently
  • Comfortable working across unfamiliar codebases, teams and technical domains
  • Experience with CI/CD, code review workflows and human-in-the-loop development practices

Nice to have

  • Experience with market data, real-time systems or trading infrastructure
  • Experience building deployment pipelines or AI-assisted execution workflows
  • Experience building or self-hosting LLM infrastructure
  • Familiarity with Kafka or similar streaming technologies
  • Familiarity with authentication, permissions and access control systems (e.g. OIDC)

What you get

  • Base salary range of $180,000 to $300,000 per year
  • Discretionary performance-based bonuses
  • Competitive benefits package

Worth weighing

  • High level of autonomy expected in role
  • Fast-paced trading environment may imply high pressure
  • No specific mention of work-life balance or remote work options

Summarised from Qube Research & Technologies's posting. Read the full original.

Listed by Qube Research & Technologies on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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