Posted 2 weeks ago

Intermediate Software Engineer (Agentic AI Verification)

Trulioo
United States 🇺🇸
  • Onsite
  • Full Time
  • Airflow
  • AWS
  • Python
  • Software Engineering

Job description

  • Reporting to the Senior Director, Engineering, the Intermediate Software Engineer will be responsible for building and hardening Trulioo’s Agentic AI Verification capabilities, taking agent-based verification workflows from proof-of-concept to production-grade systems
  • This role involves designing test cases and evaluation checks for agent behavior, contributing to the data pipelines that feed the agents, and partnering with Product and senior engineers to turn business requirements into shipped features
  • This role is expected to leverage AI and emerging technologies to improve productivity, enhance decision-making, and continuously optimize how work is performed
  • 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 an eye on 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 the agent, 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, streamline workflows, and identify opportunities for continuous improvement while ensuring the responsible, secure, and compliant use of AI tools
  • Use AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) as a routine part of your development workflow, with a clear habit of reviewing and verifying generated output before it ships
  • 2-4 years of experience in a software engineering or development role
  • Working knowledge of SQL and/or NoSQL databases, and experience with basic API design (REST at minimum)
  • Comfortable using AI coding assistants as a routine part of your 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
  • A self-starter mindset, comfortable with ambiguity and figuring things out rather than waiting for a fully specified task
  • Solid foundation in Python and/or another backend language, with the ability to write clean, readable, testable code
  • Experience with the following tools/technology: AWS, and exposure to data pipeline tools such as PySpark or Airflow
  • A strong collaborator who communicates clearly and works well alongside more senior engineers
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a closely related field
  • If you don’t see yourself fully reflected in every job requirement listed on the posting above, we still encourage you to reach out and apply
  • 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