Thomson Reuters
Staff Software Engineer I
$118K–$253K
United States of America, Eagan, Minnesota +3 · Hybrid · Staff · Full-time · Posted Aug 21, 2026
- Location
- United States of America, Eagan, Minnesota
United States of America, Frisco, Texas
United States of America, New York, New York
Canada, Toronto, Ontario - Experience
- 6+ years; hands-on coding contributions in the last 2–3 years.
- Education
- BA or BS in Computer Science or equivalent practical experience (preferred).
About the job
Leads hands-on development of full-stack customer-facing features for CoCounsel, including AI-powered capabilities, and guides engineering practices and delivery.
What you'll do
- Design and build frontend and backend features, including AI-powered workflows and integrations.
- Set technical standards and guide architecture, code quality, testing, and maintainability.
- Coordinate delivery with product, design, and engineering partners; mentor engineers through pairing and reviews.
What they ask for
- 6+ years of professional software engineering experience building and shipping production web applications, with hands-on coding in the last 2–3 years.
- Strong experience with React, TypeScript, and frontend architecture; hands-on Python API and service development; working knowledge of Node.js.
- Fluency with agentic coding tools and workflows, and ability to lead AI-assisted engineering practices.
- Experience leading through influence, guiding architecture, improving systems, and collaborating effectively.
Nice to have
- BA or BS in Computer Science or equivalent practical experience; web application performance optimization experience.
- Production experience building AI-powered features using LLM APIs, RAG pipelines, or agentic workflows; familiarity with AI/ML infrastructure.
Pay
$136,000 USD - $253,000 USD (base salary); $118,400 USD - $219,800 USD (base salary); $140,600 CAD - $190,600 CAD (base salary)
Tools
React, TypeScript, Python, Node.js, LLM, MCP
AI focus
Build AI-powered product capabilities, including agentic workflows, LLM integrations, and MCP-based tooling; use and lead AI agents in engineering workflows.
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