---
title: 'Software Engineer II — Agentic AI Foundations at Socure'
canonical: 'https://feeny.ai/job/software-engineer-ii-agentic-ai-foundations-socure-toronto-pjh0tf47751z'
type: 'job'
last_seen: '2026-09-10'
---

# Software Engineer II — Agentic AI Foundations at Socure

- **Company:** [Socure](https://feeny.ai/companies/socure)
- **Location:** Toronto, Canada
- **Compensation:** $135k–$175k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-25
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/socure/d4231c05-fb34-488c-9a9b-325e09dc1aa8

## 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.

Follow Us! [YouTube](https://www.youtube.com/c/Socure) | [LinkedIn](https://www.linkedin.com/company/socure/) | https://x.com/socureme | [Facebook](https://www.facebook.com/socure/)

## About Socure

## Company Overview
- **One-liner**: Socure provides an AI-powered platform for digital identity verification, fraud prevention, and risk decisioning, used by enterprises and government agencies to verify consumers, businesses, and employees.
- **Entity Type**: Private (Series E)
- **Headquarters**: Incline Village, Nevada, USA
- **Founded**: 2012
- **Founders**: Johnny Ayers (CEO)

## Core Business
- **Primary industry/industries**: Digital Identity Verification, Fraud Prevention, Risk Decisioning, RegTech
- **Target customers**: B2B — primarily Enterprise and Government. Serves financial services (18 of top 20 banks), government agencies (13 U.S. states, 2 federal agencies), gaming/sportsbooks, healthcare, telecom, e-commerce, marketplaces, and fintechs.
- **Mission or purpose**: To verify 100% of good identities and eliminate identity fraud.

## Products & Services
- **RiskOS®**: The company’s core AI platform for identity and risk decisioning. It is a fully vertically integrated platform that allows customers to design, test, and deploy identity, risk, compliance, age assurance, and authentication workflows across the entire customer journey.
- **Predictive Risk Score Solution**: A risk scoring solution that provides real-time fraud protection and decisioning.
- **Effectiv (Acquired)**: An end-to-end identity fraud and payment risk management solution that adds transaction monitoring, credit underwriting, and Know-Your-Business (KYB) capabilities to the Socure platform.
- **FedRAMP Authorized Solution**: A version of the platform authorized for use by U.S. federal government agencies.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (Private company).
- **Key Metric**: Serves over 3,000 customers. The company has access to an identity graph of hundreds of billions of records and over 40 billion historical known outcomes.
- **Notable Investors/Partners**: Investors are not explicitly listed on the provided sources, but the customer base includes Capital One, Citi, Chime, SoFi, Lili, Green Dot, Robinhood, Dave, Gusto, Poshmark, Uber, DraftKings, PrizePicks, and the State of California.
- **Growth Signals**: 
    - Achieved **FedRAMP Authorization** in April 2025, a significant milestone for selling to U.S. federal government agencies.
    - Acquired **Effectiv** to expand into payment risk management and credit underwriting.
    - Customer base includes 18 of the top 20 banks and 500+ fintechs.
    - Over 130 public sector organizations as customers.
    - Listed 100 open positions across the company.

## Competitive Advantages
- **Vertically Integrated Platform**: Socure claims to be the industry’s only fully vertically integrated identity and risk platform, which it says delivers unparalleled auto-approval and fraud capture rates.
- **Massive Data Graph**: Its identity graph of hundreds of billions of records and 40 billion historical outcomes provides a deep data moat that is difficult for competitors to replicate.
- **Breadth of Use Cases**: The platform supports virtually any industry and use case, from workforce verification to prediction markets, making it a versatile partner.
- **Government Authorization**: FedRAMP authorization gives it a unique and defensible position in the public sector market.

## Strategic Focus
- **Government Expansion**: With the recent FedRAMP authorization, a major focus is expanding into federal and state government programs.
- **Platform Expansion**: Integrating the Effectiv acquisition to offer a more comprehensive suite covering identity, payments, and credit risk.
- **AI Innovation**: Continuing to leverage AI on "offense" to keep pace with the fast-moving AI threat landscape (deepfakes, synthetic identity fraud).

## Why Work Here
- **Remote-First Culture**: Socure is a remote-first company with talent hubs in San Francisco, Seattle, New York, Washington DC, Miami, London, Chennai, Bangalore, and Hyderabad. Employees have flexibility and autonomy.
- **High-Impact Work**: The company tackles hard problems in digital identity and fraud, which are central to trust in the digital world. The culture emphasizes high performance and purpose.
- **Benefits**: 
    - Market-competitive base salary and performance bonuses.
    - Equity for all full-time employees.
    - Comprehensive medical, dental, and vision insurance.
    - Mental health support.
    - 401(k) with company match.
    - Flexible PTO and generous paid parental leave.
    - Professional development stipend.
    - Work-from-home stipend and Deskpass access for coworking.
    - Hackathons to fuel innovation.
- **Growth & Development**: Internal mobility and career pathing opportunities, access to the latest technology.
- **Team Size**: Approximately 386 total employees (per Built In), with 100 open positions signaling strong growth.

## Sources
1. [socure.com](https://www.socure.com/)
2. [socure.com](https://www.socure.com/company/careers)
3. [socure.com](https://www.socure.com/company)
4. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/socure?source_page=%2Fcompany%2Fcareers)
5. [builtin.com](https://builtin.com/company/socure)

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