Founding Full Stack AI Engineer
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About the Role
We are working with an ambitious and rapidly growing hedge fund based in the UAE is seeking a Full Stack AI Engineer to build and lead its AI capabilities from the ground up.
Key Skills for This Role
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Overview
We are working with an ambitious and rapidly growing hedge fund based in the UAE is seeking a Full Stack AI Engineer to build and lead its AI capabilities from the ground up.
This is a high-impact opportunity to architect, deploy, and scale AI systems that support trading workflows, research, operational automation, and enterprise intelligence within a highly regulated, performance-driven environment.
You will take ownership of the firm's AI architecture, infrastructure, security, and deployment strategy, building production-grade systems where auditability, reliability, and security are fundamental requirements.
The business is open to exceptional international candidates interested in relocating to the UAE.
Key Responsibilities
- Design and implement multi-agent orchestration frameworks for trading and enterprise use cases
- Build RAG pipelines, memory systems, and context management architectures
- Develop secure, scalable cloud infrastructure and CI/CD pipelines
- Implement AI observability, monitoring, tracing, and decision lineage capabilities
- Design human-in-the-loop workflows and governance frameworks
- Establish robust security controls, guardrails, and audit mechanisms
- Optimise model performance, infrastructure efficiency, and operational resilience
- Lead internal AI adoption and develop reusable AI platforms across the business
Requirements
- Strong experience with LLMs, prompt engineering, agentic AI, and RAG architectures
- Hands-on expertise with LangChain, CrewAI, AutoGen, or similar frameworks
- Advanced Python development experience, including FastAPI and asynchronous systems
- Strong experience with AWS, Docker, Kubernetes, Terraform, and CI/CD pipelines
- Deep understanding of DevSecOps, security, and infrastructure engineering
- Experience with vector databases and SQL/NoSQL environments
- Proven track record building production-grade AI systems with strong governance and reliability standards
Preferred Experience
- Experience within hedge funds, asset management, trading, fintech, or digital asset environments
- Understanding of financial markets, trading systems, and investment workflows
- Experience with AI governance, compliance, and security frameworks
- Familiarity with local model hosting technologies such as vLLM and Ollama
- Why Consider This Opportunity?
- Foundational leadership role with significant ownership and autonomy
- Opportunity to shape the firm's AI strategy, architecture, and long-term roadmap
- Direct exposure to senior leadership and business-critical initiatives
- Ability to build mission-critical AI systems from inception through production
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