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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates the ability to design and build AI agents with a focus on prompt architecture, behavioral specification, and context management. Engages in hands-on projects to develop practical skills in AI engineering and applies foundational cloud concepts in AWS or GCP.
Highest-signal resume keywords
Agentic AI Solution DevelopmentPrompt ArchitectureCloud Concepts (AWS or GCP)Generative AI KnowledgeAI Engineering / Applied AI Career Interest
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software Engineering FoundationsBehavioral SpecificationContext ManagementRetrieval Augmented Reasoning (RAG)AI GuardrailsConstraint EnforcementHuman-in-the-Loop WorkflowsAgent EvaluationObservability
Soft Skills
CuriosityProblem SolvingExperimentation
Industry Keywords
AI EngineeringApplied AIGenerative AICloud Computing
Tech Stack
Tools & technologiesAWSCloudGoogle 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 a working Agentic AI solution at the end of the program
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
- Familiar with foundational cloud concepts in AWS or GCP
- Curious about Generative AI and Agentic AI
- Learns by building, experimenting and solving problems
- Excited about developing a career in AI Engineering / Applied AI
- No prior AI Engineering experience required
Benefits
Comp & perks- Access to Claude learning materials and certification support
- V2 AI 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 who meet the required standard
- Opportunity to earn the Claude Certified Architect – Foundations certification
- In-person kick-off and tooling walkthrough
- Potential consideration for employment opportunities with V2 AI, including the Associate Forward Deployed Engineer – Applied AI pathway