Hiring: Staff Software Engineer I Company: Thomson Reuters Location: Eagan, MN Job Posted Time: 2026-09-09 17:58:15 Employment Type: Full-time Target Skills & Keywords: Full-Stack Engineering, React, TypeScript, Python, Node.js, GenAI, Agentic Workflows, LLM Integrations, MCP, Prompt Engineering, API Design, Technical Leadership, Mentorship, Performance Optimization, RAG Pipelines, Vector Databases Experience: - 6+ years of professional software engineering experience building and shipping production web applications used by real customers - Active, hands-on coding contributions in the last 2–3 years - Proven ability to lead through influence rather than authority, improving systems, reducing technical debt, and guiding architectural decisions - Experience operating in fast-paced, ambiguous environments Required Skills: - Full-stack development across frontend and backend systems - Strong experience with modern frontend frameworks such as React, plus solid understanding of TypeScript and frontend architecture - Hands-on experience building APIs and services with Python as a core language - Working knowledge of Node.js - Fluent with agentic coding tools and workflows, leveraging AI agents to accelerate planning, development, testing, and code review - Demonstrated ability to lead AI-assisted engineering practices, including delegating tasks to agents, validating results, designing agent-friendly interfaces, and establishing team guardrails and standards - Working familiarity with GenAI concepts including prompt engineering, agentic system design, LLM orchestration frameworks, and Model Context Protocol (MCP) - Establishing and upholding best practices for code quality, performance, accessibility, testing, and maintainability - Strong communication skills and a collaborative mindset - Ability to mentor engineers through pairing, code reviews, and ongoing technical guidance Qualifications: - BA or BS in Computer Science or equivalent practical experience - Preferred: Experience with performance optimization for web applications, including monitoring, profiling, and tuning for scale - Preferred: Hands-on experience building AI-powered product features, including working with LLM APIs, RAG pipelines, or agentic workflows in a production environment - Preferred: Familiarity with AI/ML infrastructure including vector databases, model serving, and cost/latency optimization for LLM-powered features Compensation: Not specified in the job posting. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!