Principal Forward Deployed Engineer

V2 AI; Sydney; In loco; AUD 150.000 - 210.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary

Equipment provided

VersionUp Day

Parental leave

Startup culture

Clear promotion paths

Flexible work

Meetups & socials

CSR rating 97%

Descrizione del lavoro

V2 AI in Sydney is seeking a Forward Deployed Engineer III - Applied AI to design and build production-grade AI applications. You will lead full‑stack projects with React and Node.js, deploying scalable AWS-based architectures and integrating AI/ML models including GenAI features.

You will mentor engineers, influence best practices, and help shape standards across the team, with opportunities for deep technical impact and career growth in a fast-moving startup environment.

Competenze

• Design and develop production-ready AI applications.
• Lead full stack projects using React and Node.js.
• Integrate AI/ML and deploy scalable cloud architectures on AWS.
• Mentor team members and influence engineering standards.

Mansioni

• 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 cross-functional teams to define project scope, design patterns, and technical strategy.
• Ensure scalable, secure, and maintainable cloud architectures on AWS services like Lambda, SageMaker, Bedrock, ECS/EKS.
• Mentor engineers on best practices, code quality, and architectural decisions.
• Implement LLMOps workflows: prompt management, model pipelines, versioning, monitoring, and optimization.
• Work with unstructured data (text, image, video, audio) to enable AI-driven features.
• Contribute to reusable code libraries, frameworks, and engineering standards.

Conoscenze

Full stack development

AI/ML concepts

Team mentoring

Strumenti

React

Node.js

AWS

LLMs

Descrizione del lavoro

V2 AI is a leading AI-Native consultancy backed by $30m in VC funding, allowing us to meet our customers' needs. We harness the power of AI to accelerate business outcomes for some of the world's largest brands. We bring decades of experience and a unique delivery model to partner with our customers on the most complex problems for immense, measurable impact.

Our Services

• AI Enablement
• Applied AI
• Data & AI Security

About the Role As Forward Deployed Engineer III - Applied AI , you’ll drive the design and development of production-ready AI applications. You’ll lead full stack projects using React and Node.js, integrating AI/ML solutions and deploying scalable cloud architectures on AWS. You’ll collaborate with product teams, architects, and other engineers to deliver end-to-end solutions, including GenAI applications, LLM integrations, and agent-based systems.

You’ll also mentor team members, influence technical decisions, and help shape engineering standards and practices across V2 AI.

Responsibilities

• 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 cross-functional teams (product, data, AI, and architecture) to define project scope, design patterns, and technical strategy.
• Ensure scalable, secure, and maintainable cloud architectures, leveraging AWS services (Lambda, SageMaker, Bedrock, ECS/EKS).
• Mentor and guide engineers on best practices, code quality, and architectural decisions.
• Implement LLMOps workflows: prompt management, model pipelines, versioning, monitoring, and optimization.
• Work with unstructured data (text, image, video, audio) to enable AI-driven features.
• Contribute to reusable code libraries, frameworks, and engineering standards.
• Stay up-to-date with AI and full stack technologies and share knowledge internally and externally.

What You Will Get:

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