Scale AI

4 weeks ago

Engineering Manager, UAE

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead and deliver AI-powered applications for UAE government clients, manage a team of engineers, own end-to-end delivery from data pipelines to frontend, and partner with product, Go-To-Market, and government stakeholders to translate requirements into scalable engineering solutions for public sector transformation.

Location: Dubai

Workplace: Onsite

Employment Type: Full time

Job Function: Sales

Seniority: Manager level

Key Responsibilities

•Lead and manage a team of engineers building AI-powered applications for UAE federal and local government clients, ensuring high-quality delivery and strong client outcomes
•Act as the primary technical point of contact for UAE government stakeholders—building trusted relationships, leading discovery workshops, and presenting solutions at the executive level
•Design, build, and optimize full stack AI applications end-to-end, spanning data pipelines, ML model integration, APIs, and frontend delivery
•Develop and deploy AI/ML solutions including LLM-powered applications, AI agents, and intelligent automation tailored to UAE government use cases
•Architect and maintain robust API integrations between Scale's platform and UAE government systems and third-party services

Key Requirements

•6+ years of total software engineering experience with a strong background in AI/ML engineering and full stack development
•3+ years of engineering leadership experience with a proven ability to manage and grow high-performing technical teams
•Strong AI/ML engineering foundation — hands-on experience building, fine-tuning, or deploying ML models and LLM-based applications in production
•Full stack engineering proficiency across backend services, APIs, data pipelines, and frontend interfaces
•Experience in a customer-facing or client-embedded engineering role, engaging with government or enterprise clients, running technical workshops, and communicating with non-technical stakeholders

Experience:6+ yearsPublic sectorGovernmentAI in government

Skills:CommunicationLeadershipProblem-solving

Languages:English

Tech Stack:APIsMLLLMData pipelinesFrontendBackendFull stack

Company Brief

Scale AI

Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Scale AI

4 weeks ago

Engineering Manager, UAE

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Dubai

Workplace: Onsite

Employment Type: Full time

Job Function: Sales

Seniority: Manager level

Key Responsibilities

•Lead and manage a team of engineers building AI-powered applications for UAE federal and local government clients, ensuring high-quality delivery and strong client outcomes
•Act as the primary technical point of contact for UAE government stakeholders—building trusted relationships, leading discovery workshops, and presenting solutions at the executive level
•Design, build, and optimize full stack AI applications end-to-end, spanning data pipelines, ML model integration, APIs, and frontend delivery
•Develop and deploy AI/ML solutions including LLM-powered applications, AI agents, and intelligent automation tailored to UAE government use cases
•Architect and maintain robust API integrations between Scale's platform and UAE government systems and third-party services

Key Requirements

•6+ years of total software engineering experience with a strong background in AI/ML engineering and full stack development
•3+ years of engineering leadership experience with a proven ability to manage and grow high-performing technical teams
•Strong AI/ML engineering foundation — hands-on experience building, fine-tuning, or deploying ML models and LLM-based applications in production
•Full stack engineering proficiency across backend services, APIs, data pipelines, and frontend interfaces
•Experience in a customer-facing or client-embedded engineering role, engaging with government or enterprise clients, running technical workshops, and communicating with non-technical stakeholders

Experience:6+ yearsPublic sectorGovernmentAI in government

Skills:CommunicationLeadershipProblem-solving

Languages:English

Tech Stack:APIsMLLLMData pipelinesFrontendBackendFull stack

Company Brief

Scale AI

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2016

Website LinkedIn