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V2 AI

AI Engineering Graduate Program

V2 AI

V2 AI graduate program building real-world Agentic AI solutions in Sydney. Developing practical skills in AI agents, cloud technologies, RAG, guardrails, and evaluation.

Posted 8/17/2026full-timeSydney • 🇦🇺 AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building Agentic AI solutions, including prompt architecture, behavioral specification, and context management. Proficient in applying Retrieval Augmented Reasoning and designing human-in-the-loop workflows while collaborating with mentors and presenting technical solutions.

Highest-signal resume keywords
Agentic AI Solution DevelopmentPrompt ArchitectureRetrieval Augmented Reasoning (RAG)Cloud Concepts (AWS or GCP)Software Engineering Foundations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Agent DesignBehavioral SpecificationFunction and Tool CallingContext ManagementAI GuardrailsConstraint EnforcementAgent EvaluationObservabilityHuman-in-the-Loop WorkflowsApplied AI Engineering
Soft Skills
CuriosityProblem SolvingCollaborationAdaptabilityCommunication
Industry Keywords
Generative AIAI EngineeringApplied AITechnology-Related DegreeUniversity Student

Tech Stack

Tools & technologies
AWSCloudGoogle Cloud Platform

About the role

Key responsibilities & impact
  • Build a working Agentic AI solution to solve a real-world business problem
  • Design and build AI agents that can perceive, reason and act
  • Develop practical skills in prompt architecture and behavioural specification
  • Work with function and tool calling
  • Explore context and state management
  • Apply Retrieval Augmented Reasoning (RAG)
  • Build AI guardrails and constraint enforcement
  • Learn agent evaluation and observability
  • Design human-in-the-loop workflows
  • Present the solution, architecture and engineering decisions to V2 AI mentors
  • Receive feedback and support from experienced AI Engineers
  • Complete V2 AI’s hands-on White Belt Applied AI Engineering Project
  • Present and defend a working Agentic AI solution to a V2 AI mentor

Requirements

What you’ll need
  • University student or recent graduate studying or having completed a technology-related degree
  • Comfortable with the foundations of software engineering
  • Familiarity with foundational cloud concepts in AWS or GCP
  • Curiosity about Generative AI and Agentic AI
  • Learns by building, experimenting and solving problems
  • Excited about developing a career in AI Engineering / Applied AI

Benefits

Comp & perks
  • Access to Claude learning materials and certification support
  • Claude subscription and training material
  • V2 AI AI Dojo material
  • Private V2 AI Graduate Slack community
  • V2 AI cloud tooling for the program
  • Claude certification support
  • Feedback from V2 AI AI Engineering mentors
  • Community of other graduates building alongside you
  • V2 AI AI Practitioner Badge for graduates meeting the required standard
  • Opportunity to earn the Claude Certified Architect – Foundations certification
  • Opportunity to be considered for opportunities with V2 AI, including the Associate Forward Deployed Engineer – Applied AI pathway