Intermediate Software Engineer (Agentic AI Verification)

Position summary

Engineering responsibilities

• Build and ship agent capabilities, including Vertex AI-based Discovery Agents, from design through production; own implementation, testing, and deployment for an assigned area of the SDLC.
• Harden proof-of-concept agent code with production-grade error handling, observability, and testing, considering cost and latency.
• Design test cases and evaluation checks for non-deterministic agent behavior.
• Build and maintain agent data ingestion and pipelines using AWS and big-data tooling.
• Partner with Product and senior engineers to turn business requirements into shipped features.
• Contribute to production monitoring, alerting, and incident response.
• Use AI and emerging technologies to improve productivity and workflows while ensuring responsible, secure, compliant use.
• Use AI coding assistants routinely and review and verify generated output before shipping.

What you'll bring

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a closely related field.
• 2–4 years of software engineering or development experience.
• Self-starter comfortable with ambiguity; clear communicator and collaborator with senior engineers.
• Strong Python and/or another backend language foundation, with ability to write clean, readable, testable code.
• Working knowledge of SQL and/or NoSQL databases and basic API design, REST at minimum.
• Experience with AWS and exposure to data pipeline tools such as PySpark or Airflow.
• Routine use of AI coding assistants and at least one LLM project involving tool/function calls, chained steps, or multi-step coordination.

Nice to have

• Exposure to orchestration or big-data tools such as Apache Airflow, Dagster, Spark, Presto/Trino, or Hive.
• Exposure to infrastructure-as-code such as Terraform or AWS CDK.
• Interest or coursework in identity verification, fraud, security, or fintech.

Work arrangement

• Hybrid model with staff typically working three days per week at a hub location.
• This position is based in the Vancouver or San Diego office.

Compensation

• Compensation range is $100,000–$130,000; no pay cadence is specified.

Benefits and workplace culture

• Full-time permanent employees receive health, dental, and vision coverage, retirement plans with company match, paid time off, parental leave, and an annual education and training stipend equivalent to $1,000 in local currency; benefits may vary by location.
• Wellness workshops and events, a complimentary Headspace subscription, employee resource groups, and office amenities are offered; details may vary by location.

Interview process

• Recruiter interview: 30 minutes; hiring manager interview: 60 minutes; panel interview: 60 minutes; final leadership interview: 30–45 minutes.

About Trulioo