Staff Software Engineer, AI

Hudson Talent Solutions; Toronto; On-site; CAD 180,000 - 260,000; Full time

Job summary

Thomson Reuters is seeking a Staff Software Engineer, AI to lead the design, development, and scaling of enterprise AI solutions. The role focuses on production-grade AI systems, RAG architectures, agent-based workflows, and LLM-powered applications supporting legal, tax, risk, and compliance professionals.

The ideal candidate has deep software engineering expertise and hands-on AI product delivery at scale.

Qualifications

• 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.

Responsibilities

• Lead design, development, and scaling of enterprise AI solutions.
• Build production-grade AI systems, RAG architectures, agent-based workflows, and LLM-powered applications for legal, tax, risk, and compliance professionals.
• Mentor engineers and influence architecture decisions.
• Translate emerging AI capabilities into enterprise-ready products.

Skills

Python

AI/ML

Generative AI

LLMs

RAG architectures

AI agent frameworks

Distributed systems

Cloud platforms

MLOps / LLMOps

Tools

OpenAI

Anthropic

Claude

Gemini

Job description

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