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Hudson Talent Solutions

Staff Software Engineer, AI

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 2, 2026
Experience: 8+ years software engineering experience
Posting language: English
Posted: Oct 3, 2026

Original 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)
Kubernetes, Docker, Terraform
MLOps / LLMOps
Production AI deployments

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

Staff AI Engineer
Principal AI Engineer
Staff Software Engineer
Lead AI Engineer
AI Platform Engineer
Staff Machine Learning Engineer
Applied AI Engineer
AI Systems 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
No production AI deployment experience
No large-scale architecture experience
Frontend-heavy backgrounds

LinkedIn Skills I Would Add

Required

Python
Artificial Intelligence (AI)
Generative AI
Machine Learning

Nice to Have

AWS
Kubernetes
Large Language Models (LLM)
Retrieval-Augmented Generation (RAG)

Apply About employer

More about this job

Responsibilities

Lead the design, development, and scaling of enterprise AI solutions, including production-grade AI systems, RAG architectures, agent-based workflows, and LLM-powered applications. Drive technical strategy and architecture decisions, mentor engineers, and turn emerging AI capabilities into enterprise-ready products for legal, tax, risk, and compliance professionals.

Requirements

Requires 8+ years of software engineering experience, including 4+ years in AI/ML-focused engineering roles, expert-level Python, and hands-on experience delivering AI products at scale. Candidates should have expertise in generative AI, LLMs, RAG, agent orchestration, distributed systems, cloud platforms, containers, infrastructure as code, and production AI operations.

Skills

Python
Artificial Intelligence
Generative AI
Machine Learning
Large Language Models
Retrieval-Augmented Generation
AI Agent Frameworks
Distributed Systems
System Design
AWS
Azure
Google Cloud Platform
Kubernetes
Docker
Terraform
MLOps

Visa sponsorship

Not detected in the job text

Keywords

Python
Artificial Intelligence
Generative AI
Machine Learning
Large Language Models
Retrieval-Augmented Generation
AI Agents
Agent Orchestration
Distributed Systems
Large-Scale System Design
AWS
Azure
Google Cloud Platform
Kubernetes
Docker
Terraform
MLOps
LLMOps
OpenAI
Anthropic
Claude
Gemini
Vector Databases
Embeddings
Semantic Search
Enterprise AI Governance
Model Risk Management
Production AI Deployment
Legal Technology
Regulated Industries

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