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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Software Engineer AI (Staff Engineer) - **Company:** Reuters America LLC - **Location:** Eagan, MN, United States - **Experience:** Expert - **Salary:** $127,400.0 - $236,600.0 - **Contract:** Permanent contract - **Skills:** ASP.NET, JavaScript (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, C Sharp (Programming Language), Cloud Computing, Software Quality, Continuous Integration, Distributed Systems, Failover, Github, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Performance Tuning, OpenAI, AI-enabled Products, Next.js, Search Technologies, Software Engineering, TypeScript, Web Application Frameworks, ReactJS, Large Language Models, Multi-Agent Systems, Backend, Agentic-AI, Rate Limiting, Fastapi, AngularJS, Information Technology, Build Tools, Network Server - **Published:** November 7, 2026 - **Apply:** https://www.careerbuilder.com/job-details/lead-software-engineer-ai-staff-engineer-eagan-mn--13492019-d8b0-4b0a-b775-4684adaae3c4 ## About the Role Software Engineering, Artificial Intelligence (AI), Software Engineering, Artificial Intelligence (AI), Legal, Technical Leadership, Cloud Computing, Tax Accounting, Financial Audit, MCP - Microsoft Certified Professional, * Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience. * 7+ years of software engineering experience, including 2+ years in technical leadership roles and 3+ years building scalable cloud applications, APIs, and AI-enabled products. * Proven track record of shipping production-grade AI systems to customers, including deployment, monitoring, evaluation, scaling, and ongoing operational ownership in enterprise environments. * Full Stack experience with Python, JavaScript, TypeScript, and modern frameworks such as React or Angular. * Strong distributed systems expertise, including APIs, data modeling, observability, resiliency, and performance optimization. * Proven success leading complex projects from architecture through long-term operation. * Deep interest in AI-native software, including LLMs, agents, retrieval, and modern AI development patterns. Preferred Experience * CI/CD experience, including GitHub Actions. * Hands-on experience integrating LLM platforms such as OpenAI and Anthropic into production applications. * Experience with vector databases, embeddings, semantic search, and retrieval systems. * Experience with C#/.NET, ASP.NET Core, PostgreSQL/SQL Server, and cloud platforms (AWS preferred). * Experience in highly regulated domains such as tax, audit, legal, fintech, or other compliance-focused industries. ## Description Thomson Reuters products power professionals shaping the world across legal, tax, accounting, and audit. As a Lead Software Engineer AI (Staff Engineer AI) on Cloud Audit Suite, you will own backend and AI orchestration systems that transform frontier models into reliable, production-grade workflows at scale. You'll also help drive our transition to an AI-native engineering organization where AI accelerates development and engineers provide technical leadership, architecture, and judgment., * As a Lead Software Engineer AI (Staff Engineer), you will be responsible for the architecture and technical direction of Audit Suite. * Define AI engineering patterns for MCP servers, agent frameworks, LLM integration, experimentation, and scalable infrastructure. * Build systems operating across millions of documents, structured financial data, evolving regulations, and thousands of concurrent AI interactions. * Lead across engineering, product, UX, and AI teams to rapidly design and deliver customer-facing solutions. * Set technical direction, mentor senior engineers, and stay hands-on in architecture and code. * Drive platform integration strategy across Thomson Reuters audit systems. What You'll Do Technical Leadership & Cross-Functional Influence * Lead strategic initiatives spanning AI, platform, and infrastructure. * Mentor engineers and elevate system design, code quality, and AI engineering practices. * Partner with AI/ML teams, researchers, designers, and product managers to convert emerging AI capabilities into trusted customer solutions. * Influence roadmap, technical strategy, experimentation, testing, rollout practices, and operational excellence. Design & Own AI-First Backend Systems * Architect and build backend services using C#/.NET, Python, FastAPI, PostgreSQL, AWS, and Vercel that power AI-driven workflows and document-centric experiences. * Develop AI orchestration capabilities including MCP servers, tool calling, workflow routing, guardrails, reliability, and LLM integrations. * Scale, Reliability & Performance * Design high-throughput, low-latency AI systems using caching, queuing, rate limiting, failover, and cost optimization strategies. * Build retrieval and search systems leveraging large document collections, vector databases, and indexing technologies. * Establish observability, SLOs, and incident management practices for auditable and trustworthy AI systems.