[Remote] Senior Software Engineer I

Note: The job is a remote job and is open to candidates in USA. Thomson Reuters brings together trusted content and technology to help professionals and organizations make informed decisions. The Senior Software Engineer will build and evolve external integrations for the CoCounsel Applications team, developing full-stack features across React, TypeScript, and Python while contributing to AI-powered capabilities. The role also involves quality assurance, cross-functional collaboration, ownership of workstreams, and knowledge sharing.

Responsibilities

• Design and implement full-stack features across frontend and backend systems, including hands-on development in our React, TypeScript and Python stacks — and direct contribution to AI-powered capabilities such as agentic workflows, LLM integrations, and MCP/A2A-based tooling
• Apply best practices for code quality, performance, accessibility, testing, and maintainability in your own work, and contribute to raising the bar through thoughtful code reviews
• Partner closely with product, design, and backend teams to clarify requirements, help define APIs, and deliver cohesive user experiences
• Break down features into well-scoped tasks, provide reliable estimates, and take your work from development through production with minimal oversight
• Contribute to a strong engineering culture through pairing, code reviews, and open technical discussion with your teammates

Skills

• 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, along with a solid understanding of TypeScript and frontend fundamentals
• Experience building APIs and services with Python as a core language, and working familiarity with GenAI concepts including prompt engineering, agentic system design, or LLM orchestration frameworks; exposure to MCP/A2A is a plus
• Track record of taking features from design through production, improving the systems you work in, and making sound technical decisions within your scope
• Comfortable operating in fast-paced, ambiguous environments, with strong communication skills and a collaborative mindset
• 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

Benefits

• Flexible hybrid working environment for office-based roles.
• Work from anywhere for up to 8 weeks per year.
• Flexible vacation.
• Two company-wide Mental Health Days off.
• Access to the Headspace app.
• Retirement savings.
• Tuition reimbursement.
• Employee incentive programs.
• Resources for mental, physical, and financial wellbeing.
• Two paid volunteer days off annually.
• In the United States: health, dental, vision, disability, and life insurance programs.
• In the United States: 401k plan with company match.
• In the United States: competitive vacation, sick and safe paid time off, paid holidays, parental leave, and sabbatical leave.
• In the United States: optional hospital, accident and sickness insurance paid 100% by the employee.
• In the United States: optional life and AD&D insurance paid 100% by the employee.
• In the United States: Flexible Spending and Health Savings Accounts.
• In the United States: fitness reimbursement.
• In the United States: access to an Employee Assistance Program.
• In the United States: Group Legal Identity Theft Protection benefit paid 100% by the employee.
• In the United States: access to a 529 Plan.
• In the United States: commuter benefits.
• In the United States: Adoption & Surrogacy Assistance.
• In the United States: access to an Employee Stock Purchase Plan.
• Annual Bonus based on a combination of enterprise and individual performance.

Company Overview

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