NEXT Ventures is Hiring Applied AI Engineer
Job description
Who We Are
NEXT Ventures is where ambition takes shape and movement becomes momentum. As a global platform revolutionising access to performance-based capital, we empower the world’s most driven individuals to rise. Through our flagship brand, FundedNext, we empower dreamers to become doers, and potential to turn into performance. With 500+ driven minds across five countries, we power a global rhythm—220,000+ daily users from 170+ nations, each chasing greatness in their own way.
Your Role in Our Mission
As an Applied AI Engineer, you will operate as a vision-driven Forward Deployed Engineer (FDE), embedding directly with teams across the organization to identify high-impact opportunities, build AI-powered products, and deliver measurable business outcomes. This is not a traditional engineering role. You'll work at the intersection of engineering, product, and business operations—owning projects end-to-end, from stakeholder discovery and process mapping to solution design, implementation, deployment, and optimization.
How You’ll Make an Impact
AI Discovery & Business Transformation
Embed with Operations, Support, Risk, Finance, Trading, and Partner teams to understand workflows and identify high-impact automation opportunities
Conduct stakeholder interviews, process mapping, and workflow analysis to quantify inefficiencies and establish improvement targets
Build business cases and ROI models that prioritize AI initiatives with measurable operational impact
AI Automation & Internal Tools
Design, prototype, and deliver internal AI-driven tools and automation solutions that reduce manual effort across departments
Build intelligent workflows, investigation assistants, operational copilots, and knowledge systems that improve efficiency and decision-making
Create scalable solutions that generate measurable operational savings and process improvements
Customer-Facing AI Products
Lead the development of customer-facing AI products across the FundedNext ecosystem, including AI-powered support assistants and intelligent analytics experiences
Build and iterate on AI prototypes, rapidly validating ideas before transforming them into production-ready solutions
Improve customer experience through AI-powered insights, automation, and self-service capabilities
LLM Engineering & Intelligent Systems
Build solutions using prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, MCP integrations, agentic workflows, and modern AI frameworks
Evaluate emerging AI technologies and integrate practical innovations into products and internal systems
Develop and maintain AI-ready knowledge repositories that improve information accessibility across the organization
AI-Native Engineering & Adoption
Drive the adoption of AI-assisted coding tools and AI-native engineering practices across teams
Leverage AI coding agents such as Claude Code, Cursor, Windsurf, and similar tools to accelerate development, debugging, testing, and code review
Promote practical AI adoption through experimentation, enablement, and knowledge sharing
Ownership & Delivery
Own end-to-end delivery of AI initiatives—from discovery and prototyping through production deployment and post-launch optimization
Present findings, recommendations, and implementation plans to leadership and key stakeholders
Translate technical concepts into measurable business outcomes and ROI
Monitor adoption, performance, and impact to ensure delivered solutions achieve their intended objectives
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