Software Engineer – AI Platform

Lead Software Engineer (Staff Engineer)

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 s 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, work spaces, and knowledge base across CoCounsel for Audit.

What you'll do:

• Technical leadership and cross-functional influence
• Design and own AI-first backend systems
• Scale, reliability, and performance

About You:

You are a fit for the position of Lead Software Engineer (Staff Engineer) if your background includes:

• 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.

What's in it For You?

• Hybrid Work Model
• Flexibility & Work-Life Balance
• Career Development and Growth
• Industry Competitive Benefits
• Culture
• Social Impact
• Making a Real-World Impact

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,…