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Added 2 mins ago
Junior Power Trader
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Added 2 mins ago
Senior Software Engineer, PAM
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President and Chief Executive Officer
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The ideal candidate is an inspiring, collaborative and strategic leader with senior leadership experience within the not-for-profit or broader public sector, ideally complemented by…
Added 2 mins ago
Senior Engineer, Systems (13683)
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Toronto, ON · Greater Toronto Area, Canada
$115,570 to $144,526.2 CAD / year
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Looking for a new and exciting job opportunity? We're hiring a Senior Systems Engineer to join our Chief Vehicles Office! In this role, you will be responsible for managing the activities…
Added 2 mins ago
Senior Manager, Financial Systems, Security & Automation
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In your role as a Senior Manager, Financial Systems, Security & Automation , you will manage the design, implementation, and optimization of financial systems and processes, partnering with…
Added 2 mins ago
Senior Tax Associate
Stern Cohen Accountants
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Full-time
We are looking for an experienced Senior Tax Associate to join our tax specialist team.
Added 3 mins ago
Director, Marketing Channel Strategy & Operations
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Toronto, ON
…technology. This is a highly visible role with accountability to senior leadership and cross-functional partners (Marketing, Product, Technology, Data, Risk/Compliance, Legal, and…
Added 3 mins ago
Senior Software Engineer, PAM
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We're looking for a Senior level Platform Engineer to join a team of highly skilled and talented team players who are proud of what they own and deliver. Our elite team is fast, creative,…
Added 3 mins ago
Senior Software Engineer in Test
Okta
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Added 3 mins ago
Senior Manager, Data Risk Oversight
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Toronto, ON · Waterloo, ON · Montreal, QC · Halifax, NS
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Manulife is seeking an experienced Senior Manager, Data Risk Oversight, to build the frameworks, standards, methodologies, and tools that enable effective data risk management and oversight…
Added 3 mins ago
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Added 3 mins ago
Quality Inspector / Coordinator
EBC Inc.
Toronto, ON · North York (York Mills West), Ontario
concerns to the Senior Coordinator or Quality Lead.
Added 3 mins ago
Pain Portfolio Marketing Intern (12-month Internship)
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Reporting to the Senior Brand Manager, the Pain Portfolio Marketing Intern, is responsible for assisting with the development and execution of the integrated marketing plans to deliver…
Added 18 mins ago
Director, Commercial Services
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Talent Developer: nurtures and supports direct reports, identifies strong team members, develops digital and analytical skills in direct reports.
Added 18 mins ago
Relationship Manager/Senior Relationship Manager
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$79,000 to $110,000 CAD / year
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As a Relationship Manager/Senior Relationship Manager:
Added 18 mins ago
Sales Team Lead
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Added 18 mins ago
Senior Account Executive, Mid-Enterprise (Central)
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Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's…
Added 18 mins ago
Campaign Specialist
Quadient
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$55,000 to $60,000 CAD / year
Full-time
…increase customer engagement. The person works closely with senior marketing employees and other internal…
Added 33 mins ago
Senior SDET Engineer
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Toronto, ON
Contract
Iris's Fortune 100 direct client is looking for Senior SDET Engineer
Added 33 mins ago
ServiceNow HRSD Technical Consultant
Jobgether
Canada
Full-time
As a Senior ServiceNow Technical Consultant, you will lead complex platform implementations from initial requirements through configuration, testing, and deployment.

Socure

Software Engineer II

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Job type: Full-time
Apply by: Oct 22, 2026
Posting language: English
Posted: Sep 22, 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 secure, 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 refine best practices for scalable agent systems.

Requirements

Candidates must have a bachelor's or master's degree in a technical field and at least 2 years of professional software engineering experience. Strong foundational knowledge in LLMs, GPU computing, and distributed systems is required to succeed in this role.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

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

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