Software Engineer – AI Applications

About the role

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.

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.
• 5+ years of professional software engineering experience, including hands-on experience building and deploying production AI-enabled applications.
• 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.

Benefits

• Highly competitive medical, dental, and vision programs.
• Health Care and Dependent Care Flexible Spending Accounts.
• Maven Family Building Benefit with a $10,000 lifetime reimbursement towards fertility, egg freezing, adoption and surrogacy expenses.
• 401(k) Savings Plan with immediate eligibility and 100% match on the first 4% of compensation.
• 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.

Pay

The current pay range for this role if performed in the city of New York is $200,000 to $250,000 per year, based on a regular, full-time schedule. The amount of pay offered will be determined by qualifications, market data, geographic location, and internal guidelines. This role is also eligible to participate in Tradeweb’s discretionary bonus program.