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V2 AI

Principal Forward Deployed Engineer

V2 AI

. Lead the design, development, and deployment of full stack AI applications using React, Node.js, and AWS .

Posted 11/12/2026full-timeBrisbane • AustraliaLeadWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in leading the design and deployment of full stack AI applications, with a strong focus on integrating AI/ML solutions and implementing scalable cloud architectures using AWS. Proficient in mentoring engineers and collaborating across teams to drive technical strategy and best practices.

Highest-signal resume keywords
Full Stack AI Application DevelopmentReact ProficiencyNode.js ProficiencyAWS Cloud ArchitectureLLMOps Workflow Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI/ML IntegrationLLMsEmbeddingsAgent FrameworksPrompt ManagementModel PipelinesVersioningMonitoringOptimizationUnstructured Data Handling
Soft Skills
MentoringCollaborationInfluencing Technical Decisions
Tools & Technologies
AWS LambdaAWS SageMakerAWS BedrockECSEKS

Tech Stack

Tools & technologies
AWSCloudJavaScriptNode.jsReact

About the role

Key responsibilities & impact
  • Lead the design, development, and deployment of full stack AI applications using React, Node.js, and AWS
  • Integrate AI/ML solutions, including LLMs, embeddings, and agent frameworks, into production applications
  • Collaborate with product, data, AI, and architecture teams to define project scope, design patterns, and technical strategy
  • Ensure scalable, secure, and maintainable cloud architectures using AWS Lambda, SageMaker, Bedrock, and ECS/EKS
  • Mentor and guide engineers on best practices, code quality, and architectural decisions
  • Implement LLMOps workflows including prompt management, model pipelines, versioning, monitoring, and optimization
  • Work with unstructured text, image, video, and audio data to enable AI-driven features
  • Contribute to reusable code libraries, frameworks, and engineering standards
  • Stay current with AI and full stack technologies and share knowledge internally and externally

Requirements

What you’ll need
  • Experience leading full stack AI application projects
  • Proficiency with React and Node.js
  • Experience integrating AI/ML solutions, including LLMs, embeddings, and agent frameworks
  • Experience deploying scalable cloud architectures on AWS
  • Knowledge of AWS Lambda, SageMaker, Bedrock, and ECS/EKS
  • Experience implementing LLMOps workflows, including prompt management, model pipelines, versioning, monitoring, and optimization
  • Experience working with unstructured data including text, image, video, and audio
  • Ability to collaborate with product, data, AI, and architecture teams
  • Ability to mentor engineers and influence technical decisions

Benefits

Comp & perks
  • Competitive salary package
  • Pick your equipment
  • Gifted Day Off ("VersionUp Day")
  • Generous parental leave
  • Well-funded startup environment
  • Annual training budget
  • Mentorship program
  • Clear promotion pathways
  • Flexible working arrangements
  • Meet-ups & socials
  • 97% rating on corporate social responsibility