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-timeSydney • AustraliaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying full stack AI applications using React and Node.js, with a strong focus on integrating AI/ML solutions and scalable cloud architectures on AWS. Proven ability to mentor engineers and influence architectural decisions while working with unstructured data.

Highest-signal resume keywords

Full Stack AI Application DevelopmentAWS Cloud ArchitectureAI/ML IntegrationLLMOps WorkflowsMentorship and Technical Guidance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ReactNode.jsAI Application DevelopmentAWS LambdaAWS SageMakerAWS BedrockECSEKSLLMOps WorkflowsUnstructured Data Processing

Soft Skills

MentoringCollaborationInfluencing Technical Decisions

Industry Keywords

GenAI ApplicationsLLM IntegrationsAgent-Based SystemsCloud ArchitectureScalable Solutions

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 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
Experience leading full stack projects using React and Node.js
Experience integrating AI/ML solutions
Experience deploying scalable cloud architectures on AWS
Knowledge of GenAI applications, LLM integrations, and agent-based systems
Knowledge of AWS services including Lambda, SageMaker, Bedrock, and 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
Ability to mentor engineers and influence technical and architectural 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