Staff Software Engineer – AI
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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.
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.
Benefits
- Hybrid Work Model
- Flexibility & Work-Life Balance
- Career Development and Growth
- Industry Competitive Benefits
- Culture
- Social Impact
- Making a Real-World Impact
- flexible vacation
- two company-wide Mental Health Days off
- access to the Headspace app
- retirement savings
- tuition reimbursement
- employee incentive programs
- resources for mental, physical, and financial wellbeing
- market competitive health, dental, vision, disability, and life insurance programs
- competitive 401k plan with company match
- competitive vacation, sick and safe paid time off
- paid holidays
- parental leave
- sabbatical leave
- 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
- access to Employee Stock Purchase Plan
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What This Job Offers
Job Type
Full-time
Career Level
Senior
