AI Engineer

Tradeweb is a global leader in electronic trading across asset classes. As financial markets become increasingly interconnected, our technology enables efficient, multi-asset trading on a global scale. We serve more than 3,000 clients in more than 85 countries, including many of the world’s largest banks, asset managers, hedge funds, insurers, corporations, and wealth managers.

Creative collaboration and sharp client focus have helped fuel our organic growth. We facilitated average daily trading volume (ADV) of more than $2.8 trillion over the past four fiscal quarters, topping $3.3 trillion in ADV for the first quarter of 2026.

Since our IPO in 2019, Tradeweb has completed four acquisitions and doubled our revenues – and 2025 was our 26th consecutive year of record revenues.

Tradeweb plays a central role in modernizing market structure by developing innovative trading protocols, embedding analytics into execution, and building technology infrastructure that supports the convergence of traditional and digitally native financial markets. Tradeweb is a great place to work, recognized in 2025 by Forbes as one of America’s Best Companies and by U.S. News & World Report as one of the Best Financial Services Companies to Work For .

Workplace Posters | U.S. Department of Labor

Group Details

The AI/ML Engineer will lead the design and development of production-grade AI applications across several strategic initiatives. This role is ideal for an engineer who enjoys building scalable systems from the ground up and working across modern AI, automation, and distributed application architectures.

Strategic AI & Trading Applications

Design and deliver next-generation applications supporting real-time workflows, pricing logic, automation, and transaction infrastructure. The role requires strong end-to-end engineering capabilities, including system architecture, backend development, and production deployment.

Workflow Automation & Financial Platforms

Build scalable applications that streamline complex operational and financial workflows for institutional users. Responsibilities include integrating intelligent automation, modern data infrastructure, and secure application connectivity within highly regulated environments.

Enterprise AI Productivity Tools

Contribute to the development of internal AI-powered productivity solutions that integrate with enterprise systems, communication platforms, and structured data sources. The environment leverages modern LLM architectures, multi-model AI orchestration, and secure data governance frameworks to support intelligent workflows across the organization.

Job Responsibilities

Build and deliver production-grade AI/ML applications across strategic financial technology and enterprise AI initiatives

Design scalable backend systems, APIs, data pipelines, and intelligent workflows integrated into enterprise production infrastructure

Develop next-generation AI-enabled platforms leveraging agentic workflows, orchestration layers, retrieval-augmented generation (RAG), and multi-agent systems

Partner closely with Product, Front Office, and Technology stakeholders to translate business needs into scalable technical solutions

Contribute to modern AI engineering infrastructure supporting large language models (LLMs), internal developer tooling, and enterprise AI platforms

Evaluate and integrate emerging AI frameworks, tools, and machine learning technologies into real-world engineering workflows

Build secure, governed, and reusable AI solutions within a highly regulated enterprise environment

Operate with strong end-to-end ownership across architecture, development, deployment, and ongoing enhancement of applications

Collaborate cross-functionally with engineering leadership, data teams, and business stakeholders to drive high-impact initiatives

Help shape scalable AI capabilities that improve automation, productivity, and intelligent decision-making across the organization

Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or another quantitative discipline

3–5 years of professional software engineering experience, including hands-on work building and deploying production AI/ML systems

Experience developing AI-enabled applications leveraging agentic workflows, multi-agent architectures, orchestration frameworks, or autonomous systems

Strong software engineering fundamentals including system design, API development, cloud infrastructure, data modeling, and scalable production deployment practices

Practical experience working with modern LLM ecosystems, including large language model APIs, orchestration tooling, vector databases, and retrieval-augmented generation (RAG) architectures

Proven ability to take AI applications from concept through production deployment, including monitoring, testing, reliability, and iterative improvement

Strong communication and collaboration skills with the ability to work across engineering, product, and business teams in fast-paced environments

Familiarity with financial markets, trading systems, digital assets, or institutional financial workflows is a strong plus

Experience with smart contract platforms, blockchain infrastructure, or decentralized technologies is beneficial

Exposure to enterprise data platforms and integrating AI systems with governed, structured datasets is preferred

Background working within AI-focused startups, emerging technology firms, or environments where AI systems are core to the business is highly valued

Relevant AI/ML certifications, cloud specializations, or modern AI tooling experience are considered a plus

Additional Information

Tradeweb is committed to providing valuable and competitive benefits. In addition to working in our culture of innovation and collaboration, we offer:

Health Insurance : Highly competitive medical, dental, and vision programs

Hybrid Environment : Our employees have the flexibility of working in the office and from home.

Health Care and Dependent Care Flexible Spending Accounts : You may elect to set aside pre-tax earnings to pay for eligible health care and dependent day care expenses for you and your eligible family members.

Maven Family Building Benefit : Maven offers support for fertility and preconception; pregnancy and post-partum; adoption; surrogacy and pediatrics for children up to age 10. Tradeweb provide a $10,000 lifetime reimbursement towards fertility, egg freezing, adoption and surrogacy expenses.

Building Wealth - 401(k) Savings Plan : Employees are immediately eligible for the 401(k) plan. Participants may contribute up to 75% of eligible compensation into a traditional 401(k) and/or Roth 401(k). Tradeweb will match 100% of the first 4% of compensation that you contribute.

The current pay range for this role if performed in the city of New York is currently $150,000 to $200,000 per year, based on a regular, full-time schedule. The amount of pay offered will be determined by a number of factors, including but not limited to qualifications, market data, geographic location, and internal guidelines.

Other Benefit Programs

Pre-Tax Commuter Benefits Program

ARAG Legal Services

Employee Assistance Program

Tuition Reimbursement

Financial Wellness Tools

Travel Assistance Benefits

Pet Insurance

Corporate Gym Subsidies

Wellness Perks

Paid Time Off and Parental Leave