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AI Innovation Engineer

AI Innovation Engineer

Master-WorksSaudi Arabia
6 منذ أيام
الوصف الوظيفي

Job Summary

The AI Innovation Engineer is a critical member of Master Works’ Innovation Department, responsible for driving the design and delivery of AI-powered PoCs and MVPs that solve real business challenges.

Key Responsibilities

  • Translate cutting‑edge AI capabilities, especially those built on large language models (LLMs), into functional and validated digital solutions.
  • Lead AI initiative execution across a variety of domains by leveraging pre‑trained models, advanced orchestration techniques, and innovative workflows.
  • 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.
  • Build lightweight APIs or frontends using Node.js and React when needed to complete a prototype or MVP.
  • Integrate and orchestrate LLMs using Retrieval‑Augmented Generation (RAG), Knowledge‑Augmented Generation (KAG), Model Context Protocol (MCP), multi‑agent orchestration, 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.

Required Qualifications

  • 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.
  • Preferred Qualifications

  • 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.
  • Core Competencies

  • 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.
  • #J-18808-Ljbffr

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