Staff Software Engineer - AI Platform

Thomson Reuters is building the AI platform that will power the next decade of tax, accounting and audit products, including CoCounsel Audit, a suite of AI-native products used by accountants on real client work every day. As a Lead Software Engineer (Staff Engineer), you will own core backend and AI orchestration systems that turn frontier models into reliable, production‑grade workflows at scale. This role is for the CoCounsel for Audit team, formed from the recent acquisition of the startup Materia. About the role You will be a Lead Software Engineer (Staff Engineer) responsible for the backend and orchestration layer powering AI agents, conversations, workspaces, and a knowledge base across CoCounsel for Audit. Shape the team’s AI platform and patterns: define patterns for building MCP servers, designing agents, novel uses of LLMs, experimentation, and scalable infrastructure. Your decisions will influence your product area and adjacent teams. Shape the platform integration strategy across new and existing Thomson Reuters audit systems to provide world‑class content and solutions for customers. Work at real production scale: build and evolve systems that operate over millions of documents, highly structured tax data, ever‑changing laws, and thousands of concurrent AI interactions from accountants doing time‑sensitive work. Small team, big surface area: join a tight group of senior engineers and researchers shipping quickly, with direct access to product leadership and customers. Great fit for people who enjoy setting technical direction, mentoring senior engineers, and spending most of their time in the code and architecture of AI systems. What you’ll do Technical leadership and cross‑functional influence Lead cross‑quarter initiatives that cut across AI, product, and infra (e.g., a new orchestration layer, a low‑latency retrieval system, or a unified knowledge base). Mentor senior and mid‑level engineers, raising the bar on system design, code quality, and AI integration practices across the org. Be a go‑to expert in new model capabilities, collaborating closely with AI/ML engineers, researchers, designers, and PMs to translate industry improvements into reliable, user‑facing workflows trusted by accountants. Help shape the team’s roadmap, technical strategy, and engineering culture— from experimentation practices to testing, rollout, and post‑mortems. Design and own AI‑first backend systems Provide your technical POV on architecting and implementing backend services (Python, FastAPI, PostgreSQL, AWS, Vercel) that power generative AI agents, complex workflows (e.g., tax filing, advisory, audit), and document‑centric experiences. Build and evolve AI orchestration: routing, tool calling, MCP servers, multistep workflows, safety and guardrails, and robust error handling around third‑party LLMs (OpenAI, Anthropic, and others). Scale, reliability, and performance Design for high‑throughput, low‑latency AI workloads: caching, queuing, rate‑limiting, model failover, and cost/performance trade‑offs. Work with large‑scale data: millions of documents, retrieval and search, vector stores, and indexing strategies tailored to tax and accounting use cases. Establish and refine SLOs, observability, and incident response for AI systems that must be correct, auditable, and trustworthy in professional workflows. About you You are a fit for the position if your background includes: Required Experience & Skills Bachelor's degree in computer science, Computer Engineering, a related field, or equivalent experience. 5‑7+ years of experience in full‑stack development, building scalable cloud‑based applications, web services, APIs and AI‑driven products. Deep Python expertise and experience with production systems using frameworks like FastAPI (or similar), relational databases (PostgreSQL or equivalent), and a major cloud provider (AWS preferred). Strong background in distributed systems: data modeling, API contracts, observability, resilience patterns, and performance tuning under load. Proven track record leading large, complex projects end‑to‑end: architecture, execution, rollout, and long‑term operation. Excellent communication skills and the ability to partner with product, design, and ML teams in a fast‑moving environment. Demonstrated interest in AI systems and new engineering paradigms: LLMs, agents, retrieval, or similar— you care about what “AI‑native” software should look like. Preferred Skills & Experience Hands‑on experience integrating LLM APIs (e.g., OpenAI, Anthropic) into production applications, including prompt/response management, cost controls, and safety considerations. Experience with AI‑adjacent infrastructure: vector databases, embeddings, semantic search, or custom retrieval pipelines. Opinions and experience around automated testing, reliability, and release practices for systems with non‑deterministic model behavior. Prior experience in domains where correctness, auditability, and compliance matter (fintech, tax, audit, legal, or similar), or strong interest in applying AI in those contexts. Benefits Hybrid work model: flexible hybrid environment (2‑3 days a week in the office for office‑based roles, with remote options for up to 8 weeks per year). Flexibility & work‑life balance: policies to manage personal and professional responsibilities. Career development and growth: programming and skills‑first approach to continuous learning. Industry‑competitive benefits: flexible vacation, two company mental health days, Headspace access, retirement savings, tuition reimbursement, incentive programs, and resources for wellbeing. Culture: inclusive, flexible, and focus on customer obsession, rapid learning, and collaboration. Social impact: two paid volunteer days per year and ESG initiatives. Compensation range (US): $146,800–$272,600 (NY, SF, LA, Irvine, VA, DC) or $127,400–$236,600 (other US locations); Ontario, Canada: $140,000–$175,000 CAD. Eligibility for annual bonus based on performance. Equal Employment Opportunity Statement Thomson Reuters is an Equal Employment Opportunity Employer; we do not discriminate based on race, color, sex, gender identity, sexual orientation, disability, or any other protected class. We provide reasonable accommodations for applicants with disabilities, including veterans, in accordance with applicable law. Accommodations If you reside in the United States and require accommodation during the recruitment process, contact our Human Resources Department at View email address on click.appcast.io. Accommodations may include sign language interpreters, accessible interview rooms, and assistive technology. #J-18808-Ljbffr Thomson Reuters