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Engineering Leader - AI Platform & Conversational Systems

khadoom Qatar
Visa Sponsorship
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AI Summary

Lead technical direction and architecture for Khadoom's AI-powered personal assistant platform. Build and ship production-ready features across frontend, backend, AI, and integrations. Design scalable systems, APIs, and internal tools while mentoring engineers and maintaining high standards.

Key Highlights
Lead technical direction and architecture for AI-first operations platform
Build production AI applications using LLMs, RAG, AI agents, and tool calling
Design scalable backend systems, APIs, data models, and internal tools
Work closely with founders to shape product and engineering culture from early stage
Key Responsibilities
Lead the technical direction and architecture of the platform
Build and ship production-ready features across frontend, backend, AI, and integrations
Design scalable backend systems, APIs, data models, and internal tools
Build AI-powered conversational experiences using LLMs, RAG, structured outputs, tool/function calling, and agent orchestration
Improve reliability, performance, security, and developer experience of the platform
Build and improve dashboards, workflow tools, automation flows, and operational systems
Review code, mentor engineers, and maintain high engineering standards
Work closely with founders to turn product ideas into reliable production systems
Technical Skills Required
TypeScript Node.js React/Next.js
Benefits & Perks
Competitive salary
Visa sponsorship
High ownership and direct impact on product decisions
Nice to Have
Flutter or mobile app development
WhatsApp Business API, Instagram messaging, or chat-based products
Logistics, delivery, marketplace, field operations, or human-in-the-loop platforms
Supabase, PostgreSQL, Redis, Docker, CI/CD, Vercel, AWS, or Azure
RAG pipelines, vector databases, AI evaluation, guardrails, or observability
Dashboards, admin panels, workflow builders, or analytics systems

Job Description


Location: Lusail, Qatar

Work model: On-site

Visa sponsorship: Available


About Khadoom:


Khadoom is building Qatar’s first AI-powered personal assistant for real-world physical tasks.


We are creating an AI-first operations platform that combines conversational AI, intelligent agents, workflow automation, logistics orchestration, and human-in-the-loop execution to help people get things done through natural conversation.


This is not a chatbot wrapper. Khadoom includes AI agents, RAG-based flows, WhatsApp and Instagram channels, internal operations dashboards, escalation workflows, analytics, and integrations with external services.


As one of our first engineering leaders, you will work directly with the founders and play a key role in shaping the product, architecture, and engineering culture from an early stage.


What you’ll do


* Lead the technical direction and architecture of the platform.

* Build and ship production-ready features across frontend, backend, AI, and integrations.

* Design scalable backend systems, APIs, data models, and internal tools.

* Build AI-powered conversational experiences using LLMs, RAG, structured outputs, tool/function calling, and agent orchestration.

* Improve the reliability, performance, security, and developer experience of the platform.

* Build and improve dashboards, workflow tools, automation flows, and operational systems.

* Review code, mentor engineers, and maintain high engineering standards.

* Work closely with the founders to turn product ideas into reliable production systems.


Our stack and product surface


Our current and expected stack includes:


* TypeScript, Node.js, React/Next.js

* PostgreSQL / Supabase

* Vercel and modern cloud infrastructure

* OpenAI / LLM APIs

* RAG, structured outputs, tool/function calling, and AI agents

* WhatsApp and Instagram messaging integrations

* Internal dashboards, workflow automation, analytics, and operational tools


Experience with Flutter or mobile development is a strong plus.


What we’re looking for


* 5+ years of software engineering experience.

* Strong experience with TypeScript, Node.js, React/Next.js, and modern backend development.

* Proven experience building production AI applications using LLMs, RAG, AI agents, tool/function calling, or conversational systems.

* Strong understanding of AI application architecture, not just integrating AI APIs.

* Experience designing scalable systems, APIs, databases, integrations, and cloud-based applications.

* Strong knowledge of software architecture, debugging, performance optimization, and engineering best practices.

* Comfortable working across frontend, backend, AI orchestration, integrations, and product architecture.

* Comfortable making technical decisions while remaining hands-on.


Bonus points


* Experience with Flutter or mobile app development.

* Experience with WhatsApp Business API, Instagram messaging, or chat-based products.

* Experience building logistics, delivery, marketplace, field operations, or human-in-the-loop platforms.

* Experience with Supabase, PostgreSQL, Redis, Docker, CI/CD, Vercel, AWS, or Azure.

* Experience with RAG pipelines, vector databases, AI evaluation, guardrails, or observability.

* Experience building dashboards, admin panels, workflow builders, or analytics systems.

* Experience building bilingual or Arabic-first AI products.


What we offer


* Competitive salary.

* Visa sponsorship.

* High ownership and direct impact on product and engineering decisions.

* Opportunity to build and scale a validated AI product solving real-world problems.

* A rare chance to help define the technical foundation of an AI-native startup from Qatar.


Please do not apply if


* Your experience does not closely match the requirements above.

* Your primary experience is building demos without strong software engineering fundamentals.

* You rely heavily on AI-generated code without understanding system design, debugging, architecture, and production reliability.

* You are looking for a management-only role. This is a hands-on engineering position where you will be expected to design, build, and ship production systems.


How to apply


* Your resume/CV.

* Your GitHub profile.

* Your most impactful project, AI-related preferred.

* A brief description of your technical contributions to that project.

* Any relevant links, demos, repositories, case studies, or references.



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