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We develop bespoke solutions that leverage our customers’ proprietary data and expertise to transform their organizations with AI. We work with them to understand their pain points and workflows and then forward deploy our team to build cutting-edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy frontier AI agents.
- Developing custom AI applications
- Building custom LLMs
- Providing high-quality training data for research and government institutions building LLMs
- Developing partnerships to foster regional talent growth and AI adoption
You will lead a cross-functional team of engineers, MLEs, and operators to build a highly impactful solution for our customers that will drive millions in revenue for our business as well.
Responsibilities:
- Lead design workshops with the client to define custom AI solutions
- Scope out new AI application use cases across various government entities
- Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market)
- Consistently engage with future end-users to solicit feedback and ensure we are prioritizing effectively
- Stay up to date with latest research in applied AI and training custom LLMs
- Scope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution
- Give regular progress updates to the client and International Public Sector leadership
- 4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products
- Strong technical background (STEM degree) and/or experience building technical software products
- Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings
- Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro)
- Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams
- Coding experience (Python)
- Proficiency in Arabic, both written and spoken
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
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