Staff FullStack Software Engineer (Forward Deployed) - GPS
Doha, Doha Municipality, Qatar · Full Time
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- Experience
- 10+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 4 days ago
- Work mode
- In office
- Education
- Masters
- Resume
- Required to apply
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Job description
About Scale AI International Public Sector Team
Our rapidly expanding international public sector division at Scale AI aims to leverage artificial intelligence technologies to tackle significant challenges faced by public institutions worldwide. Our primary efforts include crafting customized AI applications that benefit millions, producing premium training datasets for specialized large language models (LLMs), and providing knowledge enhancement and advisory services to extend AI’s impact.
Role Overview
As a Forward Deployed Full Stack Software Engineer, you will work directly alongside public sector stakeholders to quickly develop full-stack AI solutions addressing urgent public needs, thereby delivering tangible benefits to citizens. Our mission transcends AI solution building: we strive to empower governmental operations with transformative technology.
Key Responsibilities
- Lead as the primary technical strategist for public sector projects, translating vague mission objectives into detailed architectural plans and directing onsite execution.
- Design essential frameworks for scalable, production-quality AI applications, establishing exemplary integration of interactive front-end interfaces, backend services, and AI models to ensure dependable performance.
- Oversee progressive enhancements to cloud infrastructure, promoting security, global scalability, and enduring system robustness across varied environments.
- Guide the creation of core platforms and shared services tailored to satisfy broad-ranging research and operational demands of global clients.
- Collaborate with cross-disciplinary leadership to define the technical trajectory, mentor engineers of varying seniority, and maintain alignment with a unified, sustainable architecture.
- Act as a conduit between frontline client insights and core platform innovation by encapsulating practical experiences into reusable engineering methodologies.
Candidate Qualifications
- Master’s or PhD degree in Computer Science or equivalent extensive industry experience in architecting intricate distributed systems.
- At least 10 years of comprehensive full-stack development experience including Python, Node.js, and React; with demonstrable success designing scalable architectures using Kubernetes and major cloud platforms (AWS, Azure, GCP).
- Proven expertise in engineering and managing robust production ecosystems, ensuring best practices in system reliability, security, and scalability.
- Substantial experience in deploying and managing sophisticated, end-to-end AI solutions within demanding high-security client environments.
- Demonstrated history of developing LLM-based applications with strategic insight to anticipate future technology shifts and develop sustainable systems.
- Self-motivated leadership skills capable of navigating ambiguous challenges, mentoring senior personnel, and establishing technical vision.
- Advocate for asynchronous workflows and documentation-centric practices to enhance global engineering effectiveness and minimize operational friction.
Preferred Additional Experience
- Prior roles in startup environments as CTO, founding engineer, or engaging as a forward deployed/dedicated customer engineer.
- Experience in working collaboratively across operational functions.
- Familiarity with Arabic language is an advantage.
Location and Legal Requirements
This position is based in Doha, Qatar. Employment and residency require valid permissions (visas and permits) issued by Qatari authorities. Applicants will need to provide relevant personal information for visa processing. Visa approval is subject to local authority discretion. The company will assist successful candidates in obtaining necessary legal permissions to reside and work in Qatar.
Application Policy and Company Statement
Applicants should note a mandatory 90-day waiting period before reapplying for the same role, ensuring equitable candidate review. Scale AI commits to equal opportunity employment without discrimination and supports accessibility accommodations for applicants with disabilities who may contact the company for assistance. Data collected during the application process will be handled in alignment with internal data protection policies and applicable laws.
About Scale AI
Scale AI develops trustworthy AI systems to support vital decision-making globally. Our solutions power major AI models and assist both private enterprises and public agencies in deploying responsible AI applications. We collaborate with organizations such as Meta, Ernst & Young, the Mayo Clinic, various governments including Qatar, and multiple U.S. federal agencies. Our culture fosters inclusion and diversity, welcoming all individuals to contribute authentically.
Minimum education
Master's Degree