Staff Software Engineer – AI

Job Description

Thomson Reuters products power the professionals shaping the world. Confirmation is the industry-leading audit confirmation platform, connecting audit firms, their clients, and thousands of responding institutions to securely verify balances and transactions with speed and certainty.

As a Staff Software Engineer – AI on the Confirmation Product Engineering team, you will be a hands-on technical leader building and delivering production platform and AI capabilities . This role requires strong production C#/.NET engineering experience , along with Python experience for AI/ML development and integration .

We are looking for an engineer who has personally built and delivered AI features into production as part of enterprise software products. This is not a pure architecture, research, data science, or proof-of-concept role. You will remain deeply hands-on in the code while providing Staff-level technical leadership.

You will design and build C#/.NET backend and distributed systems and use Python to develop and integrate AI/ML capabilities , including large language model (LLM)-powered applications, AI agents, orchestration, retrieval, and document understanding. You will partner with Principal Engineers and cross-functional teams to establish AI engineering patterns, develop Model Context Protocol (MCP) servers and agent-based capabilities, and build reliable and scalable AI infrastructure.

Key Responsibilities

• •Architect, develop, and deliver production backend and platform services using C#/.NET , PostgreSQL, AWS, microservices, and distributed-system patterns.
• •Build production AI/ML capabilities using Python , including LLM integration, AI agents, orchestration, retrieval, and multi-step AI workflows.
• •Lead hands-on AI engineering initiatives across product and infrastructure, including agent-based workflows, retrieval systems, and AI-assisted document processing.
• •Build and evolve AI orchestration capabilities, including routing, tool calling, MCP servers, multi-step workflows, safety controls, guardrails, evaluation, and resilient error handling around third-party LLMs.
• •Design reliable, scalable, high-throughput distributed systems and AI workloads , incorporating caching, queuing, rate limiting, model failover, observability, resilience, and cost/performance optimization.
• •Develop retrieval and data capabilities using document search, vector stores, embeddings, semantic search, and indexing strategies for large-scale audit and confirmation use cases.
• •Provide hands-on Staff-level technical leadership by setting technical direction, influencing engineering standards, mentoring engineers, and continuing to personally design, code, build, and deliver production systems.

Required Qualifications

• •Bachelor’s degree in Computer Science, Computer Engineering, a related field, or equivalent professional experience.
• •7+ years of progressive software engineering experience , including hands-on development, architecture, and delivery of large-scale production systems.
• •Strong, recent, hands-on C#/.NET production development experience , including building backend services and APIs using C#/.NET and ASP.NET Core or similar technologies.
• •Hands-on Python experience for AI/ML system development , including model integration, AI orchestration, APIs, data pipelines, or comparable production use cases.
• •Demonstrated experience personally building and delivering AI/ML features into production , including LLM-powered applications, AI agents, retrieval/RAG, orchestration, or comparable AI-native capabilities.
• •Strong hands-on platform and distributed-systems engineering experience , including microservices, system integration, data modeling, REST or GraphQL APIs, relational databases, observability, resilience, scalability, and performance optimization.
• •Experience implementing appropriate AI safety controls, guardrails, evaluation, reliability, and production operational practices .
• •Proven experience leading complex engineering initiatives from architecture and hands-on implementation through deployment, rollout, and long-term production operation.
• •Proven ability to operate as a hands-on Staff-level technical leader , providing technical direction and mentoring engineers while continuing to actively design, code, build, and deliver production software.
• •Strong communication and cross-functional collaboration skills with the ability to partner effectively with engineering, product, design, user experience, research, and machine learning teams.

Candidates must have hands-on production AI delivery experience. AI experience limited to personal projects, side projects, coursework, experimentation, or proof-of-concept work alone does not meet this requirement.

Preferred Qualifications

• •Hands-on experience integrating LLM APIs such as OpenAI or Anthropic into production applications, including prompt and response management, cost controls, reliability, and safety considerations.
• •Experience with vector databases, embeddings, semantic search, and custom retrieval pipelines .
• •Experience designing automated testing, AI evaluation, reliability, and release practices for systems with non-deterministic model behavior.
• •Familiarity with actor-model architectures and frameworks , such as Microsoft Orleans or Akka, for resilient, message-driven distributed systems.
• •Experience with AWS , containerized microservices using Docker and Kubernetes, and CI/CD pipelines such as GitHub Actions or similar technologies.
• •Experience with modern JavaScript frameworks, particularly Angular and TypeScript .
• •Experience working in industries where correctness, auditability, security, and regulatory compliance are important, such as financial technology, audit, tax, or legal technology.
• •Experience interacting directly with customers and translating customer or business needs into scalable technical solutions.

#LI-TH1

• 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, an