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Thomson ReutersPosted 2 weeks ago

Senior Software Engineer I

$94,900–$94,900 year

HybridEagan, Minnesota, United States

Full TimeSenior LevelEnterprise

Job Summary

Design and deliver full-stack features across frontend and backend systems using React, TypeScript, and Python, with direct contribution to AI-powered capabilities like agentic workflows and LLM integrations. Write high-quality code daily, apply best practices for performance and accessibility, and partner with product and design teams to ship customer-facing features. Break down workstreams into scoped tasks, provide reliable estimates, and take ownership from development through production with minimal oversight. Contribute to engineering culture through pairing, code reviews, and open technical discussions.

Required Qualifications

  • 4+ years of professional software engineering experience building and shipping production web applications used by real customers
  • Experience with modern frontend frameworks such as React
  • Solid understanding of TypeScript
  • Solid understanding of frontend fundamentals
  • Experience building APIs and services with Python as a core language
  • Working familiarity with GenAI concepts including prompt engineering, agentic system design, or LLM orchestration frameworks
  • Track record of taking features from design through production
  • Improving the systems you work in
  • Making sound technical decisions within your scope
  • Comfortable operating in fast-paced, ambiguous environments
  • Strong communication skills
  • Collaborative mindset

Desired Qualifications

  • BA or BS in Computer Science or equivalent practical experience
  • Experience with performance optimization for web applications, including monitoring, profiling, and tuning for scale
  • Hands-on experience building AI-powered product features, including working with LLM APIs, RAG pipelines, or agentic workflows in a production environment
  • Familiarity with AI/ML infrastructure including vector databases, model serving, and cost/latency optimization for LLM-powered features
  • Exposure to MCP/A2A

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