Senior AI Engineer / AI Lead (LLMs, Prompt Engineering & AI Systems) – Remote
Persian HorizonJobsCloseBy Editorial Insights
Persian Horizon seeks a Senior AI Engineer / AI Lead to design, train, and scale the central AI brain powering its proprietary AI Dashboard for internal and external clients. The role centers on end-to-end AI and LLM systems, advanced prompt engineering, knowledge bases, RAG with vector databases, and orchestrating multiple AI APIs to deliver tools for sales, marketing, content, and analytics. Requirements include extensive LLM architecture experience, hands-on fine-tuning, Python, and LangChain or LlamaIndex with a product-minded SaaS mindset. To apply, tailor your resume to show concrete dashboards or products, quantify impact, and share samples or links, highlighting cross-functional collaboration and remote, fast-moving scale-up fit.
About Persian Horizon
Persian Horizon is a Dubai-based investment and business development company specializing in acquiring, operating, and scaling ready-to-run businesses across multiple industries.
We operate at the cutting edge of technology , actively using Artificial Intelligence to monitor markets, empower sales and marketing teams, analyze business performance, and optimize decision-making across all owned businesses.
We are currently expanding our proprietary AI Dashboard into a scalable AI-driven product for both internal use and external clients.
Role Overview
We are seeking a Senior AI Engineer / AI Lead to design, train, and scale the core intelligence behind our AI systems. This role is critical in building a centralized AI “brain” that transforms company knowledge, content, and data into actionable outputs for sales, marketing, advertising, websites, and business analysis.
Key Responsibilities
- Design and implement end-to-end AI and LLM-based systems
- Work extensively with Large Language Models (LLMs)
- Build and maintain advanced Prompt Engineering frameworks
- Design and manage Knowledge Bases for AI (company content, documents, data)
- Fine-tune and train AI models using internal organizational data
- Implement RAG architectures using Vector Databases
- Integrate and orchestrate multiple AI APIs (OpenAI, Anthropic, Gemini, Azure AI, etc.)
- Convert AI outputs into usable tools for sales, marketing, content, and analytics teams
- Design AI infrastructure ready for SaaS and client-facing products
- Collaborate closely with Full Stack Developers and business stakeholders
Requirements
Skills & Experience
- Extensive experience with LLMs and AI system architecture
- Strong expertise in Prompt Engineering and AI knowledge design
- Hands-on experience with AI model fine-tuning and training
- Strong understanding of RAG, embeddings, and vector databases
- Experience working with AI APIs and multi-model orchestration
- Proficiency in Python
- Experience with LangChain / LlamaIndex
- Strong system design and product-oriented thinking
Strong Advantage
- Experience building AI dashboards or AI products
- MLOps and deployment experience
- SaaS architecture background
Job Type
- Full-time / Part-time
- Remote
- Long-term collaboration
Benefits
- Competitive, market-aligned salary and incentives
- Fully remote work
- Latest tech stack & ownership of end-to-end features
- Opportunity to build scalable products with real business impact
- Professional growth in a fast-moving, scale-up environment
- Collaborative culture with a focus on efficiency, innovation, and system reliability