Software Engineer – AI Applications

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.

Tradeweb Markets LLC (“Tradeweb”) is proud to be an EEO Minorities/Females/Protected Veterans/Disabled/Affirmative Action Employer.

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Group Details

Tradeweb is seeking a Senior Software Engineer to design and build production-grade applications powered by modern AI technologies. This is a software engineering role focused on applying large language models, retrieval-augmented generation (RAG), agentic workflows, and AI orchestration frameworks to real-world financial and enterprise use cases.

You will own applications across the full development lifecycle—from system architecture, backend services, APIs, and data integration through deployment, monitoring, security, and ongoing enhancement. The focus is not on developing foundational AI models; it is on integrating modern AI capabilities into scalable, reliable, and secure production software.

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 capabili…