AI Innovation Engineer

• Design and deliver AI-driven PoCs and MVPs that directly support strategic innovation goals across Master Works and its subsidiaries.
• Develop full-stack AI systems with Python at the core—using frameworks like FastAPI, Transformers, LangChain, Haystack, and PyTorch—to implement AI pipelines and intelligent service components.
• Integrate and orchestrate LLMs using: - Retrieval-Augmented Generation (RAG) - - - - Knowledge-Augmented Generation (KAG) Model Context Protocol (MCP) Multi-agent orchestration and A2A workflows Prompt engineering and fine-tuning where applicable
• Interface with LLM providers (OpenAI, Claude, Groq, Cohere, open-source models) through APIs and SDKs, optimizing model utility and cost-efficiency.
• Design and manage vector-based search architectures using tools like ChromaDB, Weaviate, Pinecone, or FAISS.
• Prototype interaction layers, visual interfaces, and lightweight dashboards using Node.js and React, especially for showcasing PoC/MVP deliverables.
• Collaborate with business stakeholders to shape and prioritize AI use cases, ensuring alignment with internal innovation streams and subsidiary needs.
• Evaluate, benchmark, and refine AI models for accuracy, performance, and business relevance.
• Create internal documentation, reusable components, and technical guidelines to support scaling and knowledge sharing.
• Stay up to date with emerging AI trends and continuously integrate relevant new methods into practice.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Engineering, or a related technical field.
• 5+ years of hands-on experience delivering AI-based systems with tangible outcomes.
• Demonstrated mastery of Python for building AI workflows, services, and integrations using leading AI/ML frameworks. Proven experience in developing and integrating LLM-based applications using APIs, SDKs, and orchestration tools.
• Solid knowledge of RAG, embeddings, vector databases, and prompt tuning techniques.
• Familiarity with autonomous agent design patterns (e.g., A2A, task chaining, multi-agent flow control).
• Working knowledge of Node.js and React for full-stack PoC/MVP assembly.
• Strong experience with cloud-native development, containerization (e.g., Docker), and modern development practices.

• Experience building Arabic-aware NLP solutions or localized AI models (e.g., Najdi dialect adaptation, intent classification in Arabic).
• Background in deploying AI innovations in government, defense, or regulated sectors. Experience working in high-velocity innovation teams or R&D-style workstreams.
• Familiarity with tools like MLflow, LangSmith, or Weights & Biases for experiment tracking.
• Contributions to AI open-source initiatives, technical publications, or public demos is a plus.

• Innovation-first mindset with ability to rapidly turn ideas into working prototypes.
• Strong ownership, able to independently manage priorities and delivery.
• Analytical thinker with the ability to simplify complex technical ideas.
• Results-driven with a focus on experimentation and measurable outcomes.
• Excellent communication skills, capable of articulating technical ideas to diverse stakeholders.
• Ability to work in multi-disciplinary teams and dynamic business environments.
• Passion for AI and continuous learning of emerging tools, models, and practices.

Master Works