Thomson Reuters
Thomson Reuters5 open roles

Senior Software Engineer – AI, Tax and Audit, FDE

$118–253kNew York, NY; Frisco, TX; Ann Arbor, MI; Eagan, MN; Toronto, CanadaHybridSeniorFull-time

Posted 12 days ago

The role in short

Build and deploy production AI applications, including RAG pipelines and custom agents, for tax and audit clients while owning client delivery and technical integration.

Build and deploy production AI solutions that help tax and audit professionals improve accuracy, streamline complex work, and deliver better outcomes for their clients. As a Senior Software Engineer, you will combine Python, backend engineering, large language models (LLMs), and client-facing delivery to turn business needs into secure, reliable applications. You will work across client engagements, independently lead simpler builds, and partner with Staff and Principal engineers on complex solutions.

Key Responsibilities

  • Own client delivery on simpler builds and standard integrations, translating ambiguous needs into clear technical scope, working solutions, and effective handoffs for public accounting firms, corporate tax departments, and audit practices.
  • Build production AI applications , including retrieval-augmented generation (RAG) pipelines, custom agents, and multi-step agentic workflows , for tax preparation and review, audit testing, workpaper automation, validation, and regulatory analysis.
  • Develop scalable, secure, and maintainable backend services , applying architecture established with Staff and Principal engineers and partnering with Integration Engineers to connect solutions to Thomson Reuters products and client systems.
  • Establish AI evaluation, observability, monitoring, tracing, benchmarking, and adversarial testing to improve solution accuracy, reliability, and production performance.
  • Partner with Tax & Audit AI Engineers to translate tax rules and audit procedures into engineering plans, prototypes, and measurable evaluation criteria.
  • Manage delivery across multiple engagements at agreed time allocations, contributing technical judgment during early discovery, rapid prototyping, and pre-sales discussions.
  • Support deployments through post-launch stabilization, incident resolution, runbooks, and support handoffs , and contribute reusable components and engineering patterns that improve future delivery.

Required Qualifications

  • 5+ years of software engineering experience , with a strong foundation in system design, distributed systems, and maintainable software architecture .
  • At least 2 years of hands-on experience building and deploying AI/ML or LLM-powered applications in production .
  • Strong proficiency in Python and backend engineering , including REST APIs, asynchronous services, and event-driven systems .
  • Hands-on experience with RAG architectures, vector databases, and AI orchestration frameworks , such as LangChain, LangGraph, PydanticAI, or AutoGen .
  • Experience deploying secure applications on AWS, Azure, or Google Cloud , using Infrastructure as Code and continuous integration and delivery (CI/CD) , alongside observability and AI evaluation tooling .
  • Ability to lead client discussions, explain technical tradeoffs clearly, solve problems in ambiguous environments, and own delivery across competing priorities , collaborating with both technical and non-technical stakeholders.

Preferred Qualifications

  • Experience with Thomson Reuters tax and accounting products , such as UltraTax CS, GoSystem Tax RS, ONESOURCE, GoFileRoom, or CoCounsel , or comparable software.
  • Experience in consulting, professional services, or client-facing technical delivery .
  • Experience building Model Context Protocol (MCP) servers or tool integrations for AI agents .
  • Familiarity with tax, audit, or other regulated domains where accuracy, traceability, and audit trails are essential.
  • Experience with tools such as Datadog, Grafana, Prometheus, LangSmith, Langfuse, Braintrust, or Weights & Biases .

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

What’s in it For You?

  • 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.
  • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
  • Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
  • Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.

In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.

Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $136,000 USD - $253,000 USD.
For any eligible US locations, unless otherwise noted, the base compensation range for this role is $118,400 USD - $219,800 USD.
For Ontario, Canada, the base compensation range for this role is $100,000 CAD - $145,000 CAD.

Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.
This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

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 HR.Leave-Expert@thomsonreuters.com . 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.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com

Prep for this interview

5 questions likely to come up at Thomson Reuters, each matched to a line in this posting.

  1. 1Cloud, deployment and security
    They wrote: “Experience deploying secure applications on AWS, Azure, or Google Cloud , using Infrastructure as Code and continuous integration and delivery (CI/CD) , alongside observability and AI evaluation tooling .”

    How would you debug a deployment that works in staging but fails at the customer's site?

    How to answer

    Why they ask: Customer environments differ in ways you can't see. This tests method under pressure.

    1. Compare versions, config and environment variables
    2. Check network rules, proxies and certificates (common in enterprise)
    3. Look at resource limits and permissions
    4. Add the missing check to your install steps afterwards

    Tip: List the usual suspects and how you'd check each without full access.

  2. 2Discovery and scoping
    They wrote: “Manage delivery across multiple engagements at agreed time allocations, contributing technical judgment during early discovery, rapid prototyping, and pre-sales discussions.”

    A customer says “we want AI in our claims process.” What do you ask in the first meeting?

    How to answer

    Why they ask: Most FDE work starts this vague. They want to hear you find the real problem before you pick a tool.

    1. Map the current process: who touches a claim, in what order, with which systems
    2. Find the slowest or most error-prone step and ask what it costs them
    3. Agree on one measurable goal (for example time per claim, or error rate)
    4. Ask what data you can access, and who signs off on security

    Tip: Ask about the work, not the technology. Who does it today, how long it takes, what a mistake costs, and how they'd know it got better.

  3. 3Integrations and APIs
    They wrote: “Strong proficiency in Python and backend engineering , including REST APIs, asynchronous services, and event-driven systems .”

    Walk me through connecting our product to a customer's internal system that has no documentation.

    How to answer

    Why they ask: This happens weekly in the job. They want a calm, step-by-step method.

    1. Find who owns the system and get read access to a test environment
    2. Watch real traffic or logs to learn the data shapes
    3. Build a thin adapter with logging around every call
    4. Agree on how failures get reported, and who fixes what

    Tip: Talk about finding the owner of the system first. The code is the easy part.

  4. 4LLMs, RAG and agents
    They wrote: “At least 2 years of hands-on experience building and deploying AI/ML or LLM-powered applications in production .”

    A customer wants a chatbot over their internal documents. How do you build it?

    How to answer

    Why they ask: RAG is the most common first project. They want the whole path, from messy files to answers people trust.

    1. Collect and clean the documents; handle permissions per user
    2. Split them into chunks, embed, and store with source links
    3. Retrieve, then answer with citations; say “I don't know” when retrieval is weak
    4. Build a test set of real questions with expected answers before launch

    Tip: Spend more time on the data and on testing than on the model.

  5. 5Coding
    They wrote: “5+ years of software engineering experience , with a strong foundation in system design, distributed systems, and maintainable software architecture .”

    Build a small in-memory cache. Then add expiry. Then a size limit.

    How to answer

    Why they ask: Staged exercises show how your code holds up when requirements change mid-interview, like at a customer.

    1. Start with get and set on a dictionary, plus tests
    2. Store an expiry time with each value and check it on read
    3. Track use order and evict the least recently used entry when full
    4. Say what you'd change for many threads or many machines

    Tip: Keep the first version simple and well tested so the next stage is a small change.

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Thomson Reuters

$118–253k · Hybrid

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