Summary
✨ AI‑Generated
A senior-level platform engineering role at the intersection of product and backend development. The position builds secure web applications and APIs, integrates AI services, improves data models and service design, and guides several engineers in following engineering standards. It suits an ownership-driven engineer who enjoys direct product impact and high-quality system architecture.
Highlights
An impactful platform role at the intersection of product and backend engineering, with ownership of architecture and core services, direct work with AI-powered workflows, collaboration with data and ML teams, and opportunities to mentor engineers.
Description
We are a stealth startup in Doha, building an agentic AI platform for organisations that deliver project work - contractors, engineering and consulting firms, facilities operators, and departments inside large organisations and government.
RoleBuild and own the web platform that brings our AI agents to life.
You will develop the user-facing applications, role-based access control, and core backend services that let teams securely put AI agents to work on live projects.The role sits at the intersection of product and Backend.
You will also mentor two to four engineers and propose changes to the core - data model, agent boundaries, service design.
Architecture and engineering standards.
What You’ll DoBuild and maintain web applications (Agentic Orchestration layer, workflows, our SaaS platform)Design and develop backend APIs that connect AI services to the product.Work closely with our AI, ML and MLOps engineers to ship end-to-end features.Own GitHub workflows, code reviews, branching strategies, and CI pipelines.Ensure the platform is secure, scalable, and production-ready.Take AI features from prototype to production.Build connectors into the systems customers already run - Oracle, Yardi, SAP, Dynamics.Build and maintain Python backend services on Google Cloud and Firebase.Ship the front end of your own features where needed - React / Next.js, in Arabic and English.
Raise how the team builds with AI: prompt and eval review, agent-assisted development practice, what to automate and what not to.
What You Bring
Strong experience with modern web stacks (React / Next.js, Node.js / Python, REST APIs)Experience implementing AI Agents within multi-tenant SaaS architecturesSolid understanding of databases (Postgres, NoSQL)Comfort with GitHub, CI/CD, and code quality practicesExperience building enterprise-grade web applications6+ years shipping production software, weighted toward backendStrong core Python - not framework-deep onlyYou have shipped LLM features into production and know the difference between a demo that works and a feature that holds.
Retrieval, prompt design, structured output, failure modes, cost and latencyYou write evaluations before you trust output, and you regression-test systems that do not return the same answer twiceEnterprise integration experience - Oracle, Yardi or comparable.
You have dealt with a customer's real data model, not a clean APIYou build with coding agents daily and have opinions about where they breakBased in Qatar or willing to relocate
Nice to HaveExperience with AI-powered products or data-heavy platformsFamiliarity with cloud platforms (GCP, Azure, AWS)Project-driven industry background - construction, engineering, facilities, procurement, energyExperience working in early-stage startupsWhy This RoleYou’ll ship something interesting that GCC needs at this moment, Your work will directly shape usability, security, and trust in an AI-driven construction platform.
Apply with something you have built and a short note on an AI feature you took from prototype to production — what you measured, and what broke.
