Staff Software Engineer, AI
Summary
Senior technical leadership role at Thomson Reuters (posted via Hudson Talent Solutions) in Toronto, building and scaling production AI systems — RAG architectures, agent-based workflows, and LLM-powered applications for legal, tax, risk, and compliance professionals. Core stack: Python, LLM/RAG tooling, cloud platforms, and MLOps/LLMOps.
We're seeking a Staff Software Engineer, AI to help lead the design, development, and scaling of enterprise AI solutions at Thomson Reuters.
This is a senior technical leadership role focused on building production-grade AI systems, RAG architectures, agent-based workflows, and LLM-powered applications that support legal, tax, risk, and compliance professionals.
The ideal candidate combines deep software engineering expertise with hands-on experience delivering AI products at scale.
Required Experience
- 8+ years software engineering experience
- 4+ years in AI/ML-focused engineering roles
- Expert-level Python
- Generative AI, LLMs, and RAG architectures
- AI agent frameworks and orchestration
- Distributed systems and large-scale system design
- Cloud platforms (AWS, Azure, or GCP)
- MLOps / LLMOps
Preferred Experience
- OpenAI, Anthropic, Claude, Gemini, or similar LLM platforms
- Vector databases, embeddings, and semantic search
- Enterprise AI governance and model risk management
- AI product launches and production scaling
- Experience in legal, tax, accounting, compliance, or other regulated industries
- Speaking, publishing, or thought leadership within the AI space
Target Titles
- Principal AI Engineer
- Staff Software Engineer
- Staff Machine Learning Engineer
Ideal Candidate
Looking for engineers who have built and scaled production AI systems, can drive technical strategy, mentor engineers, influence architecture decisions, and translate emerging AI capabilities into enterprise-ready products.
Red Flags
- Prompt engineering only
- Academic AI backgrounds with limited software engineering depth