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Added 2 months ago
Java Developer
Capgemini
Montreal, QC
We're seeking a Java Engineer to join our Market Risk Technology team. In this role, you will develop and enhance the Market Risk Platform.
Added 1 month ago
C
Senior Java Developer – Vice President
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Senior Java Engineer to join our dynamic team. The ideal candidate will be a hands-on developer with leadership quality, proficient in modern…
Added 2 months ago
E
Staff Engineer, API Design & Governance
eBay
Toronto, ON
- Full-time
We are seeking a highly experienced Software Design Engineer to design and build scalable, high-performance systems & APIs that power seamless end-to-end customer experiences.
Added 2 months ago
T
Fullstack Engineer (Java)
TEKsystems
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Proven expertise in object-oriented design and programming using Java/J2EE.
Added 2 months ago
Senior Core Java Engineer
Capgemini
Montreal, QC
We are seeking a Senior Core Java Engineer to design, develop, and support high-performance, scalable enterprise applications. The ideal candidate will have strong expertise in Core Java,…
Added 2 months ago
TS
Java Developer
Triunity Software
Ottawa, ON · Ontario, ON
- $100,000 to $110,000 CAD / year
- Full-time
Design, develop, and maintain robust Java-based applications and backend services
Added 2 months ago
U
Senior Full Stack Engineer
UST
Toronto, ON
- Full-time
UST is searching for a Senior Full Stack Engineer with strong Front End expertise to help build and scale high‑impact digital platforms used by millions of users. This is an opportunity to…
Added 2 months ago
VC
Senior / Intermediate Full Stack Engineer (Backend-Leaning)
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
…restaurant organizations that operate at scale. We’re looking for a backend-leaning Full Stack Engineer who enjoys solving meaningful product problems, designing thoughtful systems, and…
Added 2 months ago
S
Software Engineer II - Agentic AI Foundations
Socure
Toronto, ON
- $135,000 to $175,000 CAD / year
- Full-time
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…
Added 2 months ago
F
Senior Back End Engineer (Data Platform)
Forma.ai
Toronto, ON
- Full-time
As a Senior Engineer, Data Platform, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge…
Added 2 months ago
Software Development Engineer, Personnel Resource Manager
Amazon
Toronto, ON
The Worblehat team is looking for a Software Development Engineer to join our mission-critical platform that automates operational compliance across Amazon's global fulfillment network.…
Added 1 month ago
Senior Software Engineer - Metadata
Fivetran
ON
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Added 2 months ago
VD
Senior Software Engineer - Database
VAST Data
Vancouver, BC
- Full-time
VAST Data is looking for a Senior Backend Software Engineer to help build the engine behind the next generation of scalable, AI-native data infrastructure. In this role, you will focus on…
Added 2 months ago
M
Senior Software Engineer - Brokerage Platform
moomoo
Remote, Canada
- Full-time
- Remote
Strong backend software development experience in one or more major programming languages such as Java, C++, Go, Python or similar languages.
Added 2 months ago
PI
Java Lead Engineer / Architect - Agentic AI
Princeton IT Services, Inc
Toronto, ON
- Full-time
We are seeking a highly experienced Java Lead Engineer / Architect to design and build next-generation distributed platforms focused on edge computing, backend services, and AI/ML…
Added 2 months ago
RB
Staff Engineer – Software Development, Architecture, Security & Governance
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking a highly skilled and experienced Staff Engineer to join our Enterprise Architecture team, leveraging their expertise in full-stack development, backend engineering, API…
Added 2 months ago
C
Full Stack Software Engineer
Citi
Mississauga, ON
- Full-time
We are hiring a Full Stack Engineer to design, build and maintain a critical Cash & Intraday Liquidity Management platform. This platform sits at the intersection of engineering ambition…
Added 3 months ago
E
Senior Backend Engineer, Entities
EvenUp
Toronto, ON
- $184,728 to $249,926 USD / year
- Full-time
This role operates at the intersection of backend engineering, LLM integration, and hands-on experimentation. You will collaborate with a multidisciplinary team of Data Scientists,…
Added 2 months ago
SS
Full Stack Software Engineer, Officer
State Street
Toronto, ON
- Full-time
Implement and maintain backend APIs and web UI components using Java, JavaScript/TypeScript, React, SQL, and related technologies
Added 2 months ago
R
Staff Engineer – Software Development, Architecture, Security & Governance
RBC
Toronto, ON
- Full-time
We are seeking a highly skilled and experienced Staff Engineer to join our Enterprise Architecture team, leveraging their expertise in full-stack development, backend engineering, API…
Added 3 months ago
GD
Senior Backend Engineer - App
Groupe Dynamite, Inc Garage
Mont-Royal, QC · Ville Mont-Royal, Quebec
- Full-time
…E-Commerce Product teams and be responsible for developing backend systems that power a modern E-commerce mobile app ecosystem. As an experienced Senior Engineer I, you will lead feature…
Added 2 months ago
Senior Full Stack API Engineer
Questrade Financial Group
Toronto, ON
…background in modern frontend frameworks (e.g., React, Next.js) and backend languages (e.g., Node.js, Go, Python, or…
Added 3 months ago
C
Guidewire Automation Test Engineer
Cognizant
Toronto, ON
- $70,000 to $90,000 CAD / year
- Full-time
We are seeking a skilled and experienced Guidewire Automation Test Engineer to join our dynamic Quality Engineering team. In this role, you will be responsible for designing, developing,…
Added 2 months ago
M
Senior Software Engineer
Mastercard
Vancouver, BC
- Full-time
The Decision Management Program (DMP) team is looking for a Senior Software Engineer to support the Authorization Decisioning product and help deliver highly scalable, secure, and reliable…
Added 2 months ago
Software Development Engineer II, Campaign Management
Amazon
Toronto, ON
We are looking for a Software Engineer to help us build the next generation of self-service advertising tools. We are seeking that rare combination of solid coding background, good design…

Socure

Software Engineer II - Agentic AI Foundations

Toronto, ON, Canada

$135,000 to $175,000 CAD / year · Full-time

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Job details

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

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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