Senior Full Stack AI Consultant at V2 Digital

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

03 Aug, 26

Salary

0.0

Posted On

05 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

React, Node.js, AWS, Azure, LLM Integration, RAG Workflows, Agent-based Systems, Cloud Architecture, LLMOps, Databricks, Snowflake, Full Stack Development, AI/ML Integration, Distributed Systems, Performance Optimisation, Technical Mentorship

Industry

IT Services and IT Consulting

Description

About V2 AI 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 Strategy & Governance AI Enablement Applied AI Data & AI Security About the Role As a Senior Full Stack AI Engineer, you will play a key role in the design, architecture, and delivery of production-ready AI applications. You’ll work across the full stack using React and Node.js, integrating cutting-edge AI/ML solutions, and deploying scalable cloud architectures on AWS and Azure. You’ll collaborate closely with product teams, architects, and engineers to deliver complex solutions, including GenAI applications, LLM integrations, and agent-based systems. In this role, you will contribute to technical direction, mentor junior engineers, and help uplift engineering standards, driving high-quality, production-ready outcomes across projects. Responsibilities Design and build full stack AI applications using React, Node.js, and modern cloud-native architectures Integrate AI/ML solutions, including LLMs, embeddings, and agent frameworks, into scalable production systems Contribute to best practices across full stack development, cloud architecture, and AI workflows Collaborate with product, AI, and data teams to shape technical solutions and deliver against project goals Support and mentor junior engineers, contributing to a strong engineering culture Implement and maintain LLMOps practices, including prompt management, model pipelines, versioning, and monitoring Work with unstructured data (text, image, video, audio) to enable AI-driven capabilities Contribute to reusable components, libraries, and internal frameworks Stay up to date with AI, cloud, and full stack technologies, applying learnings to client delivery About You: Strong experience designing and delivering full stack AI applications in a hands-on engineering role Solid expertise with React, Node.js, and scalable cloud platforms across AWS and/or Azure (e.g. Lambda, ECS/EKS, SageMaker, Bedrock, Azure AI/ML) Experience integrating AI/ML capabilities, including LLMs, embeddings, RAG workflows, and agent-based systems Experience working with modern data platforms and pipelines (e.g. Databricks, Snowflake) Good understanding of cloud architecture, distributed systems, and performance optimisation Ability to contribute to technical design and influence engineering decisions within projects Experience mentoring or supporting other engineers Passion for building high-quality, scalable, and maintainable systems Strong communication skills, with the ability to work closely with cross-functional teams and stakeholders What You Will Get: 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 100% our people say V2 AI is a great place to work Apply Now: If you’re passionate about leading AI-powered full stack projects, building scalable applications, and shaping the future of AI consulting, APPLY NOW and join V2 AI!

Responsibilities

Design and deliver production-ready full stack AI applications using React, Node.js, and cloud-native architectures. Integrate LLMs and agent frameworks while mentoring junior engineers and implementing LLMOps practices.