AI Solutions Architect

Responsibilities

• Architect end-to-end GenAI systems, including prompt chaining, memory strategies, token budgeting, and embedding pipelines
• Design and optimize RAG (Retrieval-Augmented Generation) workflows using tools like LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, Qdrant)
• Evaluate tradeoffs between zero-shot prompting, fine-tuning, LoRA/QLoRA, and hybrid approaches, aligning solutions with user goals and constraints
• Integrate LLMs and APIs (OpenAI, Anthropic, Cohere, Hugging Face) into real-time products and services with latency, scalability, and observability in mind
• Collaborate with cross-functional teams to translate complex GenAI architectures into stable, maintainable features that support product delivery
• Write and review technical design documents and remain actively involved in implementation decisions
• Deploy to production following best practices around version control, API lifecycle management, and monitoring (e.g., hallucination detection, prompt drift)

Requirements

• Proven experience building and deploying GenAI-powered applications, ideally in enterprise or regulated environments
• Deep understanding of LLMs, vector search, embeddings, and GenAI design patterns (e.g., RAG, prompt injection protection, tool use with agents)
• Proficiency in Python; fluency with frameworks/libraries such as LangChain, Transformers, Hugging Face, and OpenAI SDKs
• Experience with vector databases such as FAISS, Qdrant, or Pinecone
• Familiarity with cloud infrastructure (AWS, GCP, or Azure) and core MLOps concepts (CI/CD, monitoring, containerization)
• Strong delivery mindset to balance speed, quality, and feasibility in fast-moving projects

Preferred Qualifications

• Experience building multi-tenant GenAI platforms
• Exposure to enterprise-grade AI governance and security standards
• Familiarity with multi-modal architectures (e.g., text + image or audio)
• Knowledge of cost-optimization strategies for LLM inference and token usage

Benefits

• Competitive salary and performance bonuses
• Comprehensive health insurance
• Professional development and certification support
• Opportunity to work on cutting-edge AI projects
• International exposure and travel opportunities
• Flexible working arrangements
• Career advancement opportunities in a rapidly growing AI company
• Unique chance to shape the future of AI implementation alongside a talented, innovative team

About the Company

Deeplight is a fast-growing AI company focused on deploying transformative AI solutions for enterprise clients. The team offers a collaborative environment, pushing the boundaries of AI-powered real-world applications in the MENA region.