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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - **Company:** Thomson Reuters Holdings Inc. - **Location:** Eagan, MN, United States - **Experience:** Experienced - **Salary:** $118,400.0 - $219,800.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Law Practice Management Software, Cloud Computing, Software Debugging, Distributed Systems, Github, Information Retrieval, Python (Programming Language), PostgreSQL, Modular Design, Node.Js, OpenAI, AI-enabled Products, Search Technologies, Software Engineering, Data Streaming, Web Applications, Datadog, Delivery Pipeline, Large Language Models, AgentCore, Backend, Agentic-AI, Fastapi, AI Platforms, Gitlab-ci, Information Technology, Deployment Automation, Claude, Virtual Agents, Cloudwatch, Agent SDK - **Published:** October 22, 2026 - **Apply:** https://thomsonreuters.wd5.myworkdayjobs.com/External_Career_Site/job/United-States-of-America-Eagan-Minnesota/Staff-Software-Engineer_JREQ204686 ## About the Role * Technical 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. * Technical Skills: Strong proficiency in Python, FastAPI, PostgreSQL, and AWS or Azure cloud services, with a deep understanding of distributed systems, architecture, and data modelling. building and owning CI/CD pipelines for production web applications (GitHub Actions, GitLab CI, CodePipeline, or similar), including automated testing and safe release practices * Collaboration & Communication: Comfortable operating in fast-paced, iterative environments, with strong cross-functional communication skills. Strong product sense and the ability to work from ambiguous requirements. * Leadership: Strong leadership and mentoring experience; excellent strategic thinking and problem-solving; outstanding communication and presentation skills with experience influencing senior stakeholders., * BA or BS in Computer Science or equivalent practical experience * Strong knowledge of vector databases, embeddings, semantic search, and information retrieval; * Hands-on experience with the AG-UI protocol or comparable agent-UI protocols and SDKs. Strong proficiency in SSE events * Knowledge of backend streaming patterns (Node, Python/FastAPI, etc.) sufficient to debug end to end * Experience with Datadog (logs/RUM/traces), CloudWatch Log Insights, and Braintrust * Prior experience working on products for legal, compliance, or other regulated professional domains, * Hybrid Work Model: We've adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected. ## Description We're looking for a Lead Software Engineer AI (Staff Engineer AI) to join the CoCounsel team. We are building the next generation of AI agentic products for legal professionals. The team takes early Labs concepts and turns them into scalable, production-ready features. 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 technical direction and delivery of our market leading Litigation Drafting products in CoCounsel Legal. You will be providing technical leadership for a team of talented front and back end engineers to deliver at pace. We are looking for Leaders with a strong sense of urgency and a desire to work in a fast-paced, dynamic environment who will drive the delivery of timely solutions. You are empowered to try new approaches and learn new technologies. You will have agency to contribute innovative ideas, create solutions, and will be accountable for end-to-end deliveries., * Build and architect AI Agentic driven systems -You will be working with the Engineering Manager to facilitate our full stack team in delivering ground breaking Agentic Legal software. + Leading Technical strategy, experimentation, testing, rollout practices and operational excellence + Designing and building backend services using Python, FastAPI, and PostgreSQL to support real-time AI agentic interactions, with direct contribution to AI-powered capabilities such as agentic workflows, LLM orchestration, and content pipelines. + Defining service boundaries, system interfaces, and scalable design patterns that form the architectural foundation of our AI platform. + Supporting the front-end engineers to deliver of a complex Agentic UI which uses SSE and AG-UI along with Claude Agent SDK and AgentCore at run time. * Drive innovation and technical strategy - Lead evaluation and adoption of cutting-edge AI techniques; oversee proof-of-concept work and technical feasibility for new AI-driven features; stay current with AI research and translate insights into technical roadmaps. * Provide senior technical leadership - Lead architecture decisions and translate business requirements into scalable technical specifications; mentor senior and junior software engineers * Ensure quality, security, and operational excellence - Design and implement testing, monitoring, and observability for AI systems at scale; lead compliance with ethical AI principles, security standards, and regulatory requirements. * Cross-Functional Influence: Influencing and partnering closely with our Labs team, product managers, and designers to take early AI agent concepts and turn them into scalable, production-ready features for our products. Working closely with other engineering leaders to ensure consistency with other teams. * Productionize AI Capabilities: Integrate with modern LLM providers (e.g., OpenAI, Anthropic) and implement reliable orchestration, routing, error handling, guardrails, telemetry, and deep observability for performance and reliability. Strengthen CI/CD pipelines and DevOps automation to support fast, stable, cloud-native development workflows.