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Trulioo is a global leader in digital identity verification, enabling organizations to onboard customers, optimize costs, and combat fraud. The company verifies more than 5 billion people and 700 million business entities across 195 countries and is recognized as a BC Top Employer.
Reporting to the Senior Director of Engineering, you will build and harden Trulioo's Agentic AI Verification capabilities, taking agent-based verification workflows from proof-of-concept to production-grade systems. This is a full-time, permanent role based in San Diego or Vancouver on a hybrid model (3 days per week in-office).
Key Responsibilities:
- Build and ship agent capabilities (e.g., Vertex AI-based Discovery Agents) from design through production, owning your slice of the SDLC, implementation, testing, and deployment.
- Harden proof-of-concept agent code into production-grade quality, strengthening error handling, observability, and testing with attention to cost and latency.
- Design test cases and evaluation checks for non-deterministic agent behavior, a distinct skill from testing traditional deterministic code.
- Build and maintain data ingestion and pipeline work that feeds agents, using AWS and big-data tooling.
- Partner with Product and senior engineers to translate business requirements into shipped features.
- Contribute to production support: monitoring, alerting, and incident response for an AI-driven service.
- Leverage AI and emerging technologies to improve productivity and streamline workflows while ensuring responsible, secure, and compliant use of AI tools.
- Use AI coding assistants (Claude Code, GitHub Copilot, Cursor) as a routine part of your development workflow, with clear habits of reviewing and verifying generated output.
Trulioo offers comprehensive benefits including health, dental, and vision coverage; retirement plans with company match; paid time off; parental leave; and an annual education & training stipend (equivalent to $1,000 in local currency). The company provides a flexible hybrid working environment with weekly lunches, quality coffee, regular social events, wellness workshops, and complimentary Headspace subscriptions.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a closely related field.
- 2-4 years of experience in a software engineering or development role.
- Self-starter mindset, comfortable with ambiguity and figuring things out rather than waiting for fully specified tasks.
- Strong collaborator who communicates clearly and works well alongside senior engineers.
- Solid foundation in Python and/or another backend language, with ability to write clean, readable, testable code.
- Working knowledge of SQL and/or NoSQL databases, and experience with basic API design (REST at minimum).
- Experience with AWS and exposure to data pipeline tools such as PySpark or Airflow.
- Comfortable using AI coding assistants as a routine part of workflow, and have built at least one project involving an LLM doing more than single-shot Q&A (calling tools/functions, chaining steps, or coordinating multiple steps toward a goal).
Nice to Have:
- Exposure to orchestration or big-data tools (Apache Airflow, Dagster, Spark, Presto/Trino, Hive).
- Exposure to infrastructure-as-code (Terraform, AWS CDK).
- Interest or coursework in identity verification, fraud, security, or fintech.
