Senior AI Applications Engineer for Production LLM Systems

Tradeweb; New York (NY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health Insurance

Medical

Dental

Vision Programs

Hybrid Environment

401(k) Savings Plan

Tuition Reimbursement

Fertility Benefits

Job summary

Tradeweb is seeking an experienced software engineer to design and build production-grade AI applications using LLMs, RAG, and agentic workflows for financial and enterprise use cases. You will own the full development lifecycle from architecture and backend services to deployment and security monitoring.

The role requires a degree in a quantitative field and 5+ years of experience deploying production AI-enabled applications, with proficiency in modern LLM ecosystems, orchestration frameworks,

Qualifications

• Requires a degree in a quantitative field.
• 5+ years of professional software engineering experience deploying production AI-enabled applications.
• Proficiency in modern LLM ecosystems, orchestration frameworks, and scalable system design.

Responsibilities

• Own the full development lifecycle from system architecture and backend services to deployment and security monitoring.

Skills

Large Language Models

Retrieval Augmented Generation

Agentic Workflows

AI Orchestration

System Architecture

Backend Development

API Development

Cloud Infrastructure

Data Modeling

Vector Databases

Multi-Agent Systems

Production Deployment

Financial Technology

Software Engineering

Data Pipelines

Secure Data Governance

Education

Bachelor's degree in a quantitative field

Job description

Tradeweb is seeking an experienced software engineer to design and build production-grade AI applications using LLMs, RAG, and agentic workflows for financial and enterprise use cases. You will own the full development lifecycle from architecture and backend services to deployment and security monitoring.

The role requires a degree in a quantitative field and 5+ years of experience deploying production AI-enabled applications, with proficiency in modern LLM ecosystems, orchestration frameworks,