AI/ML Lead
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-07-15
Listing for:
Tradeweb
Full Time
position Listed on 2026-07-15
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
We are seeking an experienced AI/LLM Product Engineer to design and build intelligent, language-driven systems that translate user intent into structured execution workflows. This role sits at the intersection of large language models, data science, and electronic trading, with a focus on building scalable, accurate, and explainable AI-powered decision systems.
Tradeweb Markets LLC ("Tradeweb") is proud to be an EEO Minorities/Females/Protected Veterans/Disabled/Affirmative Action Employer.
Job Responsibilities- LLM Integration & Prompt Architecture
- Design and own the integration between conversational AI agents and external large language model APIs
- Develop and continuously refine prompt architectures that translate natural language into structured system actions and parameters
- Build confirmation and validation flows to ensure outputs are accurate, explainable, and auditable
- Establish and maintain high standards for interpretation accuracy at scale
- Intent Parsing & Natural Language Processing
- Build systems that reliably map user instructions into structured parameters across varied phrasing, domains, and strategies
- Define evaluation frameworks to measure and improve NLP performance
- Handle ambiguity, edge cases, and fallback scenarios while maintaining user trust
- Intelligent Recommendation Systems
- Design and develop engines that proactively recommend optimized configurations or actions based on historical behavior, real-time conditions, and benchmark data
- Incorporate multiple data sources to generate insights that outperform manual decision-making
- Continuously improve recommendation quality through feedback and iteration
- Feedback Loops & Model Improvement
- Build mechanisms that leverage post-action or post-trade analytics to refine system recommendations over time
- Enable adaptive learning based on performance outcomes across different market or operational conditions
- Benchmarking & Data-Driven Insights
- Collaborate with data and quantitative teams to develop anonymized benchmarking models
- Define statistical methodologies for performance comparison and optimization
- Ensure privacy, aggregation, and data governance standards are met
- Translate complex analytics into actionable outputs within AI-driven systems
- Conversational Analytics
- Enable natural language interaction with complex datasets
- Build systems that interpret user queries, retrieve relevant data, and generate accurate, synthesized insights
- Support use cases such as performance analysis, comparisons, and trend identification through conversational interfaces
- 5+ years of experience in applied ML or AI engineering, with at least 2 years working directly with large language models in production
- Deep hands‑on experience with LLM integration — prompt engineering, tool use, structured output, evaluation frameworks, and hallucination mitigation
- Strong Python — this is the primary development language for the agent layer and the SDK
- Experience building systems that translate unstructured natural language into structured, actionable outputs in a production environment
- Comfort working in a regulated industry where every model output needs to be explainable and auditable
- Ability to own a technical workstream end‑to‑end — architecture decisions, implementation, and quality bar
- Experience in financial services, fintech, or trading technology
- Familiarity with fixed income markets, electronic trading workflows, or execution analytics
- Experience with transaction cost analysis or execution quality measurement
- Prior work integrating AI/ML models with real‑time market data
- Experience building recommendation or optimization systems on proprietary datasets
- 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…
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