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About the Role

Drive the design and development of production-ready AI applications. Lead full stack projects using React and Node.js, integrating AI/ML solutions and deploying scalable cloud architectures on AWS. Collaborate with product teams, architects, and other engineers to deliver end-to-end solutions, including GenAI applications, LLM integrations, and agent-based systems. Mentor team members, influence technical decisions, and help shape engineering standards and practices.

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.

Requirements

Experience leading full stack projects using React and Node.js.
Experience integrating AI/ML solutions.
Experience deploying scalable cloud architectures on AWS.
Experience collaborating with product teams, architects, and other engineers.
Experience delivering end-to-end solutions, including GenAI applications, LLM integrations, and agent-based systems.
Experience mentoring team members.
Experience influencing technical decisions.
Experience shaping engineering standards and practices.
Experience with unstructured data (text, image, video, audio).
Experience with LLMOps workflows: prompt management, model pipelines, versioning, monitoring, and optimization.
Experience with AWS services (Lambda, SageMaker, Bedrock, ECS/EKS).

Skills

React
Node.js
AWS
AI/ML
GenAI
LLM
Agent-based systems
Cloud architectures
LLMOps
Prompt management
Model pipelines
Versioning
Monitoring
Optimization
Unstructured data handling
Full stack development

Work Type

Flexible working arrangements

Experience Level

Forward Deployed Engineer III

Salary/Compensations

Competitive salary package

Benefits

Pick your equipment
Gifted Day Off ("VersionUp Day")
Generous parental leave
Well-funded startup environment
Annual training budget
Mentorship program
Clear promotion pathways
Meet-ups & socials

About the Company

V2 AI is a leading AI-Native consultancy backed by $30m in VC funding.
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 include AI Strategy & Governance, AI Enablement, Applied AI, and Data & AI Security.

Equal Opportunity

97% rating on corporate social responsibility