Intermediate Software Engineer – Agentic AI Verification

Trulioo

. Build and ship agent capabilities, such as Vertex AI-based Discovery Agents, from design through production .

Posted 10/6/2026full-timeSan Diego • California • United StatesJuniorMid-Level💰 $100,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI-driven systems, with a strong foundation in Python and experience in data pipeline tools. Capable of translating business requirements into technical solutions while ensuring code quality and system observability.

Highest-signal resume keywords

Python ProgrammingAWS ExperienceData Pipeline ToolsAPI DesignAI Coding Assistants

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLNoSQLREST API DesignData IngestionBig Data ToolingTest Case DesignError HandlingObservabilityLLM Project Experience

Soft Skills

Clear CommunicationCollaborationSelf-Starter Mindset

Tools & Technologies

AWSPySparkAirflowClaude CodeGitHub CopilotCursor

Industry Keywords

Software Development LifecycleAI-Driven ServiceContinuous ImprovementProduction-Grade SystemsIncident Monitoring

Tech Stack

Tools & technologies

AirflowAWSNoSQLPySparkPythonSQL

About the role

Key responsibilities & impact

Build and ship agent capabilities, such as Vertex AI-based Discovery Agents, from design through production
Own implementation, testing, and deployment within the software development lifecycle
Harden proof-of-concept agent code into production-grade systems
Strengthen error handling, observability, and testing while optimizing cost and latency
Design test cases and evaluation checks for non-deterministic agent behavior
Build and maintain data ingestion and pipelines feeding the agents using AWS and big-data tooling
Partner with Product and senior engineers to translate business requirements into shipped features
Monitor, alert, and respond to incidents for an AI-driven service
Use AI and emerging technologies to improve productivity, streamline workflows, and identify continuous improvement opportunities
Review and verify AI-generated code before deployment
Report to the Senior Director, Engineering

Requirements

What you’ll need

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
Solid foundation in Python and/or another backend language
Ability to write clean, readable, testable code
Working knowledge of SQL and/or NoSQL databases
Experience with basic API design, REST at minimum
Experience with AWS
Exposure to data pipeline tools such as PySpark or Airflow
Comfortable using AI coding assistants routinely, such as Claude Code, GitHub Copilot, or Cursor
At least one project involving an LLM doing more than single-shot Q&A, including calling tools/functions, chaining steps, or coordinating multiple steps toward a goal
Self-starter mindset and comfort with ambiguity
Clear communication and collaboration with senior engineers
Candidates must be legally eligible to work in Canada or the USA
Must be willing to work hybrid from the San Diego or Vancouver office three days per week

Benefits

Comp & perks

Health coverage
Dental coverage
Vision coverage
Retirement plans with company match
Paid time off
Parental leave
Annual education and training stipend equivalent to $1,000 in local currency
Flexible hybrid working environment
Weekly lunches
Quality coffee
Regular social events
Parent rooms at some locations
On-site gyms at some locations
Comfortable lounges
Adaptable workstations
Wellness workshops and events
Complimentary Headspace subscription
Employee Resource Groups