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Added 22 days ago
Lead AI/ML Engineer
Royal Bank of Canada
Toronto, ON
Full-time
5+ years of experience in software development with 3+ years focused on machine learning and AI solutions
Added 27 days ago
Lead AI/ML Engineer
RBC
Toronto, ON
Full-time
5+ years of experience in software development with 3+ years focused on machine learning and AI solutions
Added 27 days ago
Senior AI/ML Engineer
RBC
Toronto, ON
Full-time
Proficiency in programming languages such as Python, with experience in machine learning libraries (e.g., TensorFlow, PyTorch).
Added 27 days ago
Principal AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
…cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is…
Added 26 days ago
Lead Software Engineer, Full-Stack Applications - Innovation Teams
Fitch Group
Toronto, ON
Fitch Ratings is seeking a Lead Software Engineer to join our Innovation teams in Toronto - a greenfield initiative at the forefront of how AI will transform financial analysis. This isn't…
Added 1 month ago
Senior Machine Learning Researcher- EN
RBC
Montreal, QC
Full-time
2+ years of experience as a machine learning researcher or engineer in a product-centric environment or equivalent experience;
Added 10 days ago
Staff Engineer - Agentic AI
RBC
Toronto, ON
Full-time
Agentic AI, AI Architecture, Applied Machine Learning, Applied Research, Artificial Intelligence (AI), Artificial Intelligence System (AIS), Critical Thinking, Cross-Functional…
Added 1 month ago
Senior, AI & Data Science
Artefact North America
Montreal, QC
Cloud certifications, especially Google Cloud Professional Machine Learning Engineer.
Added 1 month ago
Vice President, AI Engineer
BMO
Toronto, ON · FCP
We are seeking a highly skilled AI Engineer to join the Data Cognition Team (DCT) at BMO Capital Markets. In this role, you will design, develop, and deploy next-generation AI systems with…
Added 1 month ago
AI Engineer
Workday
Vancouver, BC
Full-time
As a Machine Learning Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents. Working within a small, senior, cross-functional…
Added 25 days ago
AI Engineer (Agentic Workflows)
Protocase Inc./45Drives Ltd.
Kitchener, ON
Full-time
As an AI Engineer (Agentic Workflows) at Protocase, you will design and build applications, automations, and agentic systems on top of existing large language models (LLMs) and foundation…
Added 1 month ago
Senior, AI & Data Science
Welcome to the Jungle
Montreal, QC
Cloud certifications, especially Google Cloud Professional Machine Learning Engineer.
Added 1 month ago
AI Engineer (Agentic Workflows)
Protocase Inc./45Drives Ltd.
NS · Sydney, Nova Scotia
Full-time
As an AI Engineer (Agentic Workflows) at Protocase, you will design and build applications, automations, and agentic systems on top of existing large language models (LLMs) and foundation…
Added 1 month ago
AI Modeling Engineer
Palona AI
Toronto, ON
Full-time
Strong machine learning foundations and hands-on experience developing or evaluating production AI systems
Added 1 month ago
Research Engineer - World Models
Skyfall AI
Toronto, ON
Full-time
We're looking for a Research Engineer (ML) to join our cutting-edge AI research team. This role is ideal for engineers who thrive at the intersection of AI research and scalable software…
Added 1 month ago
Software Engineer - Observability
Baseten
Montreal, QC
$165,000 to $330,000 USD / year
Full-time
…of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from…
Added 1 month ago
Senior Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Ratings
Toronto, ON
Full-time
Fitch Ratings is seeking a Senior Software Engineer to join our new AI Innovation teams in Toronto - where we're building the AI-powered platforms and applications that will transform…
Added 26 days ago
Software Engineer II - Agentic AI Foundations
Socure
Toronto, ON
$135,000 to $175,000 CAD / year
Full-time
This is a hands-on, zero-to-one team, and you’ll get outsized exposure to how agentic systems are architected and operated in production. You’ll bring strong foundational knowledge of LLMs,…
Added 10 days ago
Lead Software Engineer - Enterprise Applications
Citi
Mississauga, ON
Full-time
2+ years focused on AI software development, LLM‑based solutions, agentic systems, and/or machine learning.
Added 1 month ago
Analyste de données / Data Scientist
Genetec
Montreal, QC
Full-time
Expérience avec les services Azure tels que : Azure Synapse Analytics, Azure Data Factory, Azure Machine Learning, Azure Data Lake Storage
Added 1 month ago
Senior AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
7+ years experience as a member of an AI engineer, data science, machine learning engineering, or other relevant software development team building applied machine learning products at…
Added 1 month ago
AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
As a Machine Learning Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents. Working within a small, senior, cross-functional…
Added 1 month ago
Senior AI/ML Engineer (AutoCAD & Civil 3D)
Autodesk
Toronto, ON
Full-time
3+ years of experience in Applied AI, Machine Learning, AI Product Engineering, ML Engineering, or Software Engineering with significant AI/ML responsibilities
Added 1 month ago
AI/ML Engineer
TC Transcontinental
Mississauga, ON
Full-time
Design and build machine learning and generative AI components that integrate with our data platforms and infrastructure, built for automation, reliability, and operational efficiency.
Added 1 month ago
AI Modeling Engineer
Palona AI
Toronto, ON
Full-time
Strong machine learning foundations and hands-on experience developing or evaluating production AI systems.

Socure

Software Engineer II - Agentic AI Foundations

Toronto, ON, Canada

Pay: $135,000 to $175,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Aug 25, 2026

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Original job description

Why Socure?

Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.

About the Role

The Agentic AI Foundations team is building the core platform, systems, and primitives that enable Socure to transition from traditional software workflows to agent-native operations. As a Software Engineer II on the team, you will help design, build, and harden a secure, evaluable, vendor-agnostic agent platform that teams across Socure can build on, working alongside senior and staff engineers who set the architectural direction.

This is a hands-on, zero-to-one team, and you’ll get outsized exposure to how agentic systems are architected and operated in production. You’ll bring strong foundational knowledge of LLMs, agentic AI, and GPU/model serving through academic, research, professional, open-source, or other relevant experience, and grow into greater ownership as you build alongside senior engineers on the team.

What You’ll Do

Build components of a vendor-agnostic agent platform - including orchestration, tool use, memory, and runtime systems - under the guidance of senior engineers on the team.
Implement evaluation and reliability tooling, including metrics, harnesses, and pipelines, to measure and improve agent performance, robustness, and safety in production.
Help implement safety and governance controls, including guardrails, policy enforcement, and human-in-the-loop review mechanisms.
Build data grounding, retrieval, and memory components that keep agents accurate, context-aware, and aligned with Socure’s domain knowledge and policies.
Prototype and iterate on agent behaviors, including planning, multi-step execution, and coordination of tools and services, using real internal workflows as proving grounds.
Partner with product and engineering teams to implement agent-powered workflows using the platform primitives the team builds.
Apply and help refine documented best practices and design patterns for secure, observable, and scalable agent systems.
Bring strong foundational knowledge of LLMs, GPU computing, and model serving to technical discussions and implementation decisions.

What You’ll Bring

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Machine Learning/AI, or a related field from top tier institutions, or equivalent practical experience demonstrating strong foundations in computer science and machine learning.
2+ years of professional software engineering experience, with demonstrated experience in distributed systems, backend platforms, infrastructure, or comparable technical environments.
Very strong foundational knowledge of large language models and agentic AI systems, including architectures, prompting and orchestration patterns, tool use, and evaluation approaches.
Strong foundational understanding of GPU computing and model-serving infrastructure, such as CUDA, vLLM, Ollama, LLMLite, TensorRT-LLM, Triton Inference Server, or similar technologies, including the performance and cost trade-offs associated with serving LLMs at scale.
Solid grounding in distributed systems fundamentals, including concurrency, fault tolerance, observability, and performance.
Proficiency in at least one modern backend programming language and ecosystem, such as Java, Go, Python, or similar, with comfort working with cloud-native infrastructure, APIs, and data services.
Ability to work productively in ambiguous, early-stage problem spaces with guidance from senior engineers, translating direction into working software.
A track record of strong technical performance demonstrated through professional impact, research, challenging technical projects, open-source contributions, internships, or other relevant work.
Strong collaboration and communication skills, with comfort working alongside cross-functional partners such as product, data science, platform, and security.

Preferred Qualifications

Experience with multi-agent systems, workflow orchestration, or distributed coordination frameworks through professional work, research, coursework, or technical projects.
Experience building or using agent platforms - such as orchestration frameworks, tool registries, or memory systems - or LLM routing, caching, or fine-tuning pipelines through professional work, research, internships, open-source contributions, or personal projects.
Exposure to evaluation frameworks, experimentation platforms, or ML systems, such as offline/online evaluations, A/B testing, or agent and model benchmarking.
Experience with AI safety, security, or policy systems - including guardrails, policy engines, content filters, or responsible AI frameworks - through professional work, research, coursework, or technical projects.
Experience with retrieval systems, knowledge graphs, or data platforms used to ground LLMs and agents in enterprise contexts.
Demonstrated depth in ML systems or LLM infrastructure through professional impact, research, publications, technical projects, competition results, open-source contributions, or comparable experience.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process - including interview or onboarding support - please reach out to your Socure recruiting partner directly.

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More about this job

Responsibilities

You will design, build, and harden a vendor-agnostic agent platform while implementing evaluation and reliability tooling for production systems. Additionally, you will collaborate with cross-functional teams to integrate agent-powered workflows and ensure safety and governance controls are effectively applied.

Requirements

Candidates must have at least 2 years of professional software engineering experience with a strong foundation in distributed systems and LLM/agentic AI architectures. A bachelor's or master's degree in a technical field or equivalent practical experience is required, along with proficiency in modern backend programming languages.

Skills

Large Language Models
Agentic AI
Distributed Systems
Python
Java
Go
GPU Computing
Model Serving
Orchestration
Cloud-native Infrastructure
API Development
Data Services
Machine Learning
Software Engineering
System Architecture

Benefits

Equity
Bonus

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
Agentic AI
LLM
Distributed Systems
GPU Computing
CUDA
vLLM
Ollama
TensorRT-LLM
Triton Inference Server
Java
Go
Python
Cloud-native
API
Machine Learning
Orchestration
Data Grounding
Retrieval Systems
Knowledge Graphs
AI Safety
Governance
Identity Trust
Backend Development
Infrastructure
Observability
Fault Tolerance
Concurrency
Performance Engineering
Scalability

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