Senior Applied AI Engineer - Full-Stack, LLMs & AWS

V2 AI; Melbourne; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary package

Pick your equipment

Gifted Day Off

Generous parental leave

Well-funded startup environment

Clear promotion pathways

Flexible working arrangements

Meet-ups & socials

97% rating on CSR

Job summary

V2 AI is a leading AI-native consultancy delivering measurable impact for global brands. The Forward Deployed Engineer III - Applied AI will drive the design and development of production-ready AI applications, leading full stack projects using React and Node.js, and deploying scalable AWS architectures.

You will mentor peers, shape engineering standards, and deliver end-to-end GenAI solutions. You will collaborate across product, data, and architecture teams to define scope and technical

Qualifications

• Experience building production AI applications using modern stack.
• Strong React/Node.js skills and cloud architecture experience.
• Familiarity with LLMs, embeddings, and GenAI workflows.

Responsibilities

• Lead design, development, and deployment of full stack AI apps with React, Node.js, and AWS.
• Integrate AI/ML solutions including LLMs into production systems.
• Collaborate with product, data, AI, and architecture teams to set scope and strategy.
• Ensure scalable, secure cloud architectures using AWS services like Lambda, SageMaker, Bedrock, ECS/EKS.
• Mentor engineers on best practices, code quality, and architecture decisions.
• Implement LLMOps: prompt management, model pipelines, versioning, monitoring, optimization.
• Work with unstructured data to enable AI-driven features and contribute reusable code.

Skills

Full stack development

React

Node.js

AWS

LLMs

AI/ML integration

Mentoring

Team collaboration

Tools

React

Node.js

AWS

Job description

V2 AI is a leading AI-native consultancy delivering measurable impact for global brands. The Forward Deployed Engineer III - Applied AI will drive the design and development of production-ready AI applications, leading full stack projects using React and Node.js, and deploying scalable AWS architectures.

You will mentor peers, shape engineering standards, and deliver end-to-end GenAI solutions. You will collaborate across product, data, and architecture teams to define scope and technical