Forward Deployed AI Engineer

The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code.

Client Engagement & Delivery Ownership

• Work directly with client business and operations leaders to elicit requirements, challenge assumptions, and translate ambiguous business problems into practical, scoped AI solutions.
• Run discovery sessions, demos, and progress reviews with technical and non-technical audiences, in Arabic and English.
• Own delivery end-to-end for assigned initiatives: scope, build, deploy, adopt. Escalate risks early rather than absorbing them silently.
• Author client-facing documentation: solution designs, technical proposals, PoC reports, and compliance material.

Engineering

• Deploy, configure, and customize LLM solutions, RAG assistants, agentic workflows, and on-premise inference using technologies such as vLLM, Gemma, and Qwen.
• Design and build AI-powered internal tools and client-facing applications using LangGraph, FastAPI, Streamlit, React, and automation frameworks.
• Build and maintain scalable data pipelines supporting AI and computer vision workloads.
• Customize computer vision models and workflows to client-specific business requirements.
• Integrate AI applications with enterprise platforms, APIs, MCP servers, and third-party services.
• Troubleshoot, optimize, and maintain deployed AI systems in production, including on-premise and GPU environments.
• Collaborate with Duroob software engineers, product managers, and solution architects, and contribute reusable patterns back to the wider team.
• • Stay current with emerging AI technologies and engineering best practices, and bring relevant ones to the client proactively.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field (or equivalent practical experience).
• 3-4 years of professional software engineering experience, including at least 1–2 years building and shipping AI/LLM-based systems.
• Prior experience working directly with clients, business stakeholders, or as a consultant / solutions engineer is a plus.
• Strong programming skills in Python.
• Working knowledge of modern JavaScript and React for building front-ends and internal tools.
• Experience integrating REST APIs, SDKs, and third-party services.
• Proficiency with Git and collaborative development workflows.
• Executive presence: able to present work clearly and confidently to senior, non-technical stakeholders and answer hard questions without defensiveness.
• Strong analytical and problem-solving skills, and the ability to learn new frameworks and APIs quickly.
• Business fluency in Arabic and professional proficiency in English — both spoken and written.
• Comfortable with fast-paced environments, evolving priorities, and ambiguous requirements.