招聘
Company Overview
Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.
IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments.
Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.
Role Summary
We are seeking an AI-forward engineer to design, build, and scale an intelligent People Technology ecosystem. This role will architect AI-powered workflows, build system integrations, develop automation services, and create scalable interfaces that enable HR and business leaders to leverage real-time data.
The ideal candidate is comfortable working across backend services, APIs, AI tools (including Claude Code or similar LLM frameworks), and lightweight front-end interfaces. This individual should demonstrate strong all-purpose programming fluency and the ability to rapidly prototype and deploy AI-enabled solutions.
Key Responsibilities
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Design and implement AI-driven HR workflows and decision-support tools
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Integrate internal AI systems (e.g., LLM-based agents) with HR platforms
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Build microservices and APIs to connect HR systems, data sources, and AI agents
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Develop and optimize batch imports/exports and SFTP data flows
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Ensure data quality, governance, and reconciliation across systems
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Rapidly prototype and iterate using AI-assisted development tools (e.g., Claude Code)
Required Experience & Capabilities
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1–5 years of programming experience in systems engineering, platform engineering, or applied AI
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Strong general-purpose programming fluency (language-agnostic mindset)
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Experience working with REST APIs and system integrations
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Experience deploying or integrating LLM-based tools
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Ability to build or modify lightweight front-end interfaces when required
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Strong understanding of structured data models and enterprise data flows
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Comfort working in ambiguous, fast-moving AI-enabled environments
Preferred
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Experience in HRIS, ATS, or enterprise SaaS ecosystems
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Familiarity with AI agent frameworks or orchestration tools
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Exposure to secure data handling and permission-based access systems
Company Benefits & Perks:
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Competitive salary package.
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Performance based annual bonus (cash and stocks).
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Hybrid working model (3 days office/week).
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Group Medical & Life Insurance.
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Modern offices with free amenities & fully stocked cafeterias.
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Monthly food card & company paid snacks.
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Hardship/shift allowance with company provided pickup & drop facility
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Attractive employee referral bonus.
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Frequent company sponsored team building events and outings.
- *Depending upon the shifts.
**The benefits package is subject to change at the management's discretion.
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关于Interactive Brokers

Interactive Brokers
PublicMultinational brokerage company.
1,001-5,000
员工数
Greenwich
总部位置
$6.8B
企业估值
评价
3.8
10条评价
工作生活平衡
2.5
薪酬
3.5
企业文化
4.0
职业发展
3.2
管理层
2.8
65%
推荐给朋友
优点
Flexible hours and good benefits
High salary and bonuses
Supportive colleagues and collaborative environment
缺点
High workload and long hours
Demanding and overwhelming work environment
Unresponsive management
薪资范围
11个数据点
Junior/L3
L3
L6
Junior/L3 · Data Scientist
0份报告
$280,000
年薪总额
基本工资
$220,000
股票
$30,000
奖金
$30,000
$238,000
$322,000
面试经验
4次面试
难度
2.5
/ 5
时长
14-28周
录用率
25%
体验
正面 25%
中性 75%
负面 0%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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