Full-Stack Engineer (Saudi Arabian AI Startup)

Position Overview

We are looking for a versatile Full-Stack AI Engineer who can handle both backend and frontend tasks, though the role will be mostly backend-heavy. You will help create prototypes, custom dashboards, and new customer-facing features, often leveraging AI/LLM services. You’ll work closely with our engineering manager and small dev team to deliver polished applications at startup speed.

• All positions are remote; however, candidates must be within ±2 hours of Saudi Arabia (KSA) time zone for easy collaboration and daily stand-ups.
• Expect to work in a fast-paced environment with daily sprints or very short sprint cycles.
• You’ll have frequent check-ins and must be comfortable giving quick, transparent updates about your progress or roadblocks.
• We expect engineers to be hands-on: pushing code, demonstrating progress, and quickly reacting to feedback or new requirements.

Who Will Thrive Here:

• Those who combine solid engineering fundamentals with a can-do attitude and strong sense of ownership.
• Individuals who enjoy rolling up their sleeves, experimenting rapidly, and adapting to changing project demands.
• Engineers excited about AI, LLMs, voice technology, and the chance to shape cutting-edge solutions for enterprise clients.
• We value clear, concise communication and the ability to commit to (and deliver on) realistic deadlines. You’ll need strong time management skills to deal with daily priorities.

Key Responsibilities

• Backend & Services Development (70%):
• Develop APIs and microservices in Python that interact with AI models for summarization, Q&A, or other advanced functionalities.
• Implement data pipelines, manage cloud resources (Google Cloud), and maintain code quality through testing and CI/CD.
• Lightweight Frontend Development (30%):
• Create (or integrate) simple yet functional user interfaces for internal dashboards or client demos.
• Use modern JS frameworks (React, Vue, or similar) to build minimal but effective UIs for features like AI chat, analytics, or reporting.
• AI Feature Implementation:
• Use (and sometimes switch between) different model providers (OpenAI, Anthropic, Llama, Gemini) for features like text generation, summarization, or question-answering.
• Build guardrails around LLM usage to ensure data security, compliance, and accurate results.
• Project Ownership:
• Own end-to-end feature development: from gathering requirements to deployment and iteration based on user feedback.
• Collaborate with designers or product managers to understand user needs and craft solutions that are both technically sound and user-friendly.

Requirements

• 3+ years of software engineering experience, ideally in both backend and frontend capacities.
• Comfortable switching between Python for backend tasks and JavaScript/TypeScript for frontend tasks.
• Familiarity with the Shadcn UI Framework
• Experience in cloud platforms, preferably Google Cloud (GCP).
• Ability to quickly learn new AI/LLM APIs and implement them in production.
• Soft Skills:
• Effective communication skills, especially in a remote, fast-paced setting.
• Organized and able to provide daily status updates in line with rapid sprint cycles.
• Self-driven, able to make architectural decisions with minimal supervision.

Nice-to-Haves

• Experience with OCR, NLP and WebRTC frameworks
• Past projects involving STT/TTS integrations.
• Familiarity with telephony integration or other real-time communication APIs.
• Knowledge of Arabic or prior experience localizing AI solutions for non-English languages.

Interview Process

1. Screening Call

2. Take-home coding exercise

3. Hands-on coding session

4. Discussion with the CEO