Software Engineer – AI Applications

Tradeweb•New York, NY

4d•$200,000 - $250,000•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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

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

Benefits

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.
This role will also be eligible to participate in Tradeweb’s discretionary bonus program.
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