Socure
Software Engineer II — Agentic AI Foundations
Hub - Toronto · Mid
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About the role
- 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.
Responsibilities
- 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.
- 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.
- Strong collaboration and communication skills, with comfort working alongside cross-functional partners such as product, data science, platform, and security.
- 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.
- If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.
Requirements
- 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.
Nice to have
- Experience with multi-agent systems, workflow orchestration, or distributed coordination frameworks through professional work, research, coursework, or technical 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.
- YouTube https://www.youtube.com/c/Socure | LinkedIn https://www.linkedin.com/company/socure/ | X (Twitter) https://x.com/socureme | Facebook https://www.facebook.com/socure/
Company info
- The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
This listing is sourced directly from Socure's careers page and normalized into a canonical job model.