Design and deploy full-stack AI applications for real investment workflows, integrating vector databases, LLM APIs, and workflow automation systems. Collaborate with AI engineers, product teams, and investment stakeholders. Strong experience in private markets, private equity, private credit, quant, or investment management required.
Key Highlights
Key Responsibilities
Technical Skills Required
Job Description
Job Title: Full-Stack AI Engineer
Location: Fully remote
Contract Type: 6 months + extensions (Contract/freelance/b2b/Outside ir35)
Rate: Competitive - Varying significantly depending on experience
Start Date: ASAP
We are working with an established UAE based AI consultancy building advanced investment-grade AI systems across private markets use cases. They deliver production-grade agentic AI systems across the full investment lifecycle, including AI-powered due diligence, portfolio optimisation, deal execution support, and real-time risk monitoring.
They are looking for multiple Full-Stack AI Engineers who can build and ship production systems in live enterprise investment environments.
Candidates must have strong experience in private markets, private equity, private credit, quant, or investment management.
What You’ll Be Doing:
- Building full-stack AI applications used in real investment workflows
- Designing and deploying RAG architectures, agentic systems, and LLM-powered applications
- Working across frontend, backend, and AI orchestration layers
- Integrating vector databases, LLM APIs, and workflow automation systems
- Delivering production-grade systems into enterprise investment environments
- Collaborating closely with AI engineers, product teams, and investment stakeholders
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Technical requirements:
- Full-Stack Development:
Strong experience with React & Next.js
Backend development experience in Python (FastAPI / Flask / Django etc.)
Experience building production web applications end-to-end
- AI / Systems Experience
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Experience building or integrating:
LLM applications (OpenAI, Azure OpenAI, etc.)
RAG pipelines
Vector databases (Pinecone, Weaviate, FAISS, etc.)
Agent-based / workflow orchestration systems
- Enterprise Stack
Experience working within Microsoft / Azure environments
Understanding of enterprise architecture and production systems
Details:
- Rate: varying significantly depending on experience
- Location: Europe remote (UAE collaboration)
- Engagement: Contract/freelance/b2b/Outside ir35 - 6 months + extensions
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