AI Innovation Engineer

Master-Works; Saudi Arabia; On-site; SAR 299,000 - 375,000; Full time

Job summary

A leading technology firm in Saudi Arabia is seeking an AI Innovation Engineer to design and deliver AI-powered proofs of concept (PoCs) and minimum viable products (MVPs) that address real business challenges. The ideal candidate will have over 5 years of experience in AI systems, solid skills in Python, and familiarity with LLMs and modern development practices. Join us to innovate and drive AI solutions in a dynamic environment.

Qualifications

• 5+ years of hands‑on experience delivering AI‑based systems with tangible outcomes.
• Demonstrated mastery of Python for building AI workflows.
• Proven experience with LLM‑based applications.

Responsibilities

• Translate AI capabilities into functional digital solutions.
• Lead AI initiative execution across various domains.
• Build lightweight APIs or frontends using Node.js and React.

Skills

Python programming

AI/ML frameworks knowledge

Node.js

React

Cloud-native development

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Docker

ChromaDB

Weaviate

PyTorch

FastAPI

Job description

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.