GenAI Lead Engineer for Tax & Trade

Thomson Reuters; San Francisco (CA); Hybrid; USD 159,000 - 295,000; Full time

Job summary

Thomson Reuters is seeking a Principal Engineer for Corporate Tax and Trade to define the technical vision for generative AI products. You will lead the design and development of AI-native features, ensuring low latency and excellent user experiences across enterprise SaaS applications.

You will mentor a globally distributed engineering team, drive AI integration, and collaborate with cross-functional partners to translate business needs into robust technical solutions in a hybrid work

Qualifications

• 10+ years hands-on software engineering experience.
• Expertise with modern UI frameworks (React, Angular, Vue, or similar), TS, Node.js, and Python.
• Experience with AI technologies including GenAI concepts, prompt engineering, RAG, and fine-tuning.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Strong communication skills and ability to mentor teams.

Responsibilities

• Provide technical leadership and define software development strategies for critical AI projects.
• Lead design and development of features advancing AI-native product experiences.
• Drive integration of LLMs and generative AI into Corporate Tax and Trade products.
• Mentor a distributed team of engineers and managers.
• Collaborate with cross-functional teams to translate requirements into technical solutions.

Skills

Software engineering

UI frameworks

TypeScript

Node.js

Python

AI technologies

GenAI concepts

RAG

Cloud platforms

AWS

Azure

GCP

Education

Advanced degree in CS/Engineering

Tools

AWS

Azure

GCP

LLMs

Job description

Thomson Reuters is seeking a Principal Engineer for Corporate Tax and Trade to define the technical vision for generative AI products. You will lead the design and development of AI-native features, ensuring low latency and excellent user experiences across enterprise SaaS applications.

You will mentor a globally distributed engineering team, drive AI integration, and collaborate with cross-functional partners to translate business needs into robust technical solutions in a hybrid work