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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 11/9/2026full-timeMelbourne • AustraliaLeadWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in full-stack AI application development using React and Node.js, with a strong focus on integrating AI/ML solutions and deploying scalable architectures on AWS. Proven ability to mentor engineers and collaborate effectively across teams to drive technical strategy and best practices.

Highest-signal resume keywords
Full-Stack DevelopmentAI Application DevelopmentAWS Cloud ArchitectureLLMOps WorkflowsMentoring Engineers

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
ReactNode.jsAI/ML IntegrationLLMsEmbeddingsAgent FrameworksAWS LambdaSageMakerBedrockECS/EKS
Soft Skills
CollaborationMentoringInfluencing Technical Decisions
Tools & Technologies
AWS ServicesCloud ArchitectureReusable Code Libraries
Industry Keywords
AI ApplicationsUnstructured DataPrompt ManagementModel PipelinesVersioningMonitoringOptimization

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 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 services
  • Mentor and guide engineers on best practices, code quality, and architectural decisions
  • Implement LLMOps workflows covering 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 designing and developing production-ready AI applications
  • Full-stack development experience 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, ECS/EKS
  • Experience with LLMOps workflows, including prompt management, model pipelines, versioning, monitoring, and optimization
  • Experience working with unstructured data including text, image, video, and audio
  • Knowledge of secure, scalable, and maintainable cloud architecture
  • 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