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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer, AI Product Engineering - **Company:** Reuters America LLC - **Location:** Eagan, MN, United States - **Salary:** $127,400.0 - $236,600.0 - **Contract:** Permanent contract - **Skills:** Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Software as a Service, Cloud Engineering, Code Review, Continuous Integration, Relational Databases, Software Debugging, Distributed Systems, Django Web Framework, Python (Programming Language), PostgreSQL, Software Product Management, Software Architecture, Search Technologies, Software Engineering, TypeScript, Web Application Frameworks, Cloud Platform System, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Backend, Fastapi, Build Management, Kubernetes, Infrastructure Automation Frameworks, Low Latency, Docker - **Published:** September 12, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/85606783/1 ## About the Role Thomson Reuters is looking for aStaff Software Engineer, AI Product Engineeringto help shape and build the next generation of AI-powered software for tax and accounting professionals. You will join the CoCounsel for Tax & Accounting organization, working in a fast-moving, product-focused environment that combines startup-style ownership with the scale and resources of Thomson Reuters. This is a highly hands-on Staff-level engineering role for someone who thrives ingreenfield and 01 product development. You will be expected to take ambiguous product and technical problems, define the right architecture, build critical parts of the solution yourself, and help guide other engineers from prototype through production. This is a hybrid role, with opportunities based inNew York City, Minneapolis-St. Paul, or Toronto. Candidates should be comfortable working onsite as part of the team's hybrid schedule. Final interviews may also be conducted onsite at the hiring hub associated with the candidate's location., You are a strong fit for this role if you have: * Significant software engineering experience building and operating large-scale, production-grade backend systems. * Strong, recent hands-on development experience with Python. * Production experience with backend frameworks such as FastAPI, Flask, or Django, with FastAPI strongly preferred. * Experience designing APIs, backend services, data models, asynchronous systems, and distributed architectures. * Experience with relational databases such as PostgreSQL and building production systems on a major cloud platform; AWS experience is strongly preferred. * Demonstrated experience personally designing, building, and launching greenfield or 01 products and systems, with clear ownership from architecture through production. * Experience making architecture decisions that affect multiple systems, teams, or major product capabilities. * Strong system-design skills with the ability to reason through scalability, reliability, performance, failure modes, and operational trade-offs. * Experience taking software through the full lifecycle, including architecture, implementation, deployment, observability, debugging, incident response, and production iteration. * Demonstrated ability to influence technical direction without relying on formal authority. * Strong communication skills and experience partnering effectively across Engineering, Product, Design, AI/ML, and other technical stakeholders. * Ability to operate effectively in ambiguous, fast-moving environments and turn incomplete requirements into clear technical direction. * Hands-on production experience building generative AI or AI-native applications is strongly preferred. * Experience with LLM-powered agents, agent orchestration, tool/function calling, RAG, embeddings, vector search, retrieval systems, or real-time AI interactions is preferred. * Experience integrating commercial or open foundation models, including OpenAI, Anthropic, or similar providers, is preferred. * Experience building customer-facing SaaS or product software in a startup, scale-up, or similarly high-ownership environment is preferred. * Experience with Docker, Kubernetes, CI/CD, infrastructure as code, observability, and modern cloud-native engineering is preferred. * Exposure to TypeScript or modern frontend frameworks is helpful but not required. ## Description As a Staff Software Engineer, AI Product Engineering, you will: * Own greenfield and 01 AI systems, taking ambiguous product problems from technical discovery and architecture through implementation, production launch, monitoring, and iteration. * Design and build production backend services using Python, FastAPI, PostgreSQL, and AWS. * Build and evolve AI-native applications incorporating large language models, AI agents, orchestration, retrieval, tool/function calling, and real-time AI workflows. * Integrate models and services from providers such as OpenAI, Anthropic, and other foundation-model platforms. * Design scalable APIs, data models, asynchronous workflows, and distributed services for high-volume, production-grade AI applications. * Make and influence architectural decisions across reliability, scalability, latency, observability, security, testing, failure handling, and maintainability. * Establish reusable engineering patterns and technical standards that improve consistency and velocity across multiple teams or workstreams. * Evaluate AI behavior in production and build mechanisms for quality measurement, experimentation, evaluation, guardrails, and continuous improvement. * Partner closely with Product and Design to translate complex customer problems into simple, scalable technical solutions. * Provide technical leadership across complex, cross-functional initiatives while remaining hands-on in design, implementation, debugging, and code review. * Mentor engineers, raise the technical bar, and help teams make sound architectural and engineering trade-offs. * Identify technical risks early and drive solutions across multiple systems or teams. ## Related Videos - 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