Tech Lead — Full Stack & AI
Job in
Doha, Baladīyat ad Dawḩah, Qatar
Listed on 2026-07-07
Listing for:
Khadoom
Full Time
position Listed on 2026-07-07
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Backend Developer, Full Stack Developer
Job Description & How to Apply Below
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, Whats App and Instagram channels, internal operations dashboards, escalation workflows, analytics, and integrations with external services.
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.
- Type Script, Node.js, React/Next.js
- Vercel and modern cloud infrastructure
- OpenAI / LLM APIs
- RAG, structured outputs, tool/function calling, and AI agents
- Whats App and Instagram messaging integrations
- Internal dashboards, workflow automation, analytics, and operational tools
- Experience with Flutter or mobile development is a strong plus.
- 5+ years of software engineering experience.
- Strong experience with Type Script, 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.
- Experience with Flutter or mobile app development.
- Experience with Whats App 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.
- 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.
- 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.
- Your resume/CV.
- 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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