Thomson Reuters is looking for a Staff Software Engineer, AI Product Engineering to 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 in greenfield and 0→1 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 in New 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.
About the Role
As a Staff Software Engineer, AI Product Engineering, you will:
Own greenfield and 0→1 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.
About You
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 0→1 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.
What’s in it For You?
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at [email protected]. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
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More information about Thomson Reuters can be found on thomsonreuters.com
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Thomson Reuters is a global provider of business information services. They provide professionals with the information, expertise, and tools they need to make informed decisions.