Software Engineer - AI

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.

• 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.

• 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…