Software Engineer II — Agentic AI Foundations
at Socure
Hub - Toronto, mid, full time, CAD 1,35,000–1,75,000 / year, 2+ years
posted 25 Aug 2026
- Go
- Workflow orchestration
- Large Language Models
- Python
- vLLM
- Java
- Data services
- Triton Inference Server
- TensorRT-LLM
- APIs
- Agentic AI
- CUDA
- LLMLite
- Fine-tuning pipelines
- Model serving
- Cloud-native infrastructure
- Caching
- Ollama
- Distributed systems
- LLM routing
- Retrieval systems
- Knowledge graphs
- GPU computing
- Multi-agent systems
About the role
Posted: 2026-08-25
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.
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 would 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.
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