---
title: 'Applied AI Engineer at Scale AI'
canonical: 'https://feeny.ai/job/applied-ai-engineer-scale-ai-kuwait-city-y613nz4t8byt'
type: 'job'
last_seen: '2026-11-11'
---

# Applied AI Engineer at Scale AI

- **Company:** Scale AI
- **Location:** Kuwait City, Kuwait
- **Posted:** 2026-11-06
- **Last confirmed live:** 2026-11-11
- **Apply:** https://job-boards.greenhouse.io/scaleai/jobs/4751059005

## Job description

## About the role

Scale's Global Public Sector team uses AI to address critical challenges facing the public sector around the world. As an Applied AI Engineer, you'll build AI that runs inside production systems used by national health and government organisations.

You'll own scoped components of those systems, such as a model integration, agent tool, API, data pipeline, or evaluation, from implementation through to delivery. Senior engineers set the system-level design and client commitments, so you can go deep on making your components work reliably on real data.

## What you'll do

- Own the implementation, testing, and delivery of defined AI components within an established system design
- Build agent tools, model integrations, and the backend services and APIs they depend on
- Run and extend evaluations within an established framework, interpret results, investigate common failure modes, and flag regressions
- Debug production issues in the components you own and resolve them using the team's engineering practices
- Communicate progress and blockers early, and take responsibility for delivery dates within your scope
- Work directly with client teams on the requirements and feedback for your components
- Share what you learn with the team as you build public sector domain expertise

## What we look for

- Experience building and shipping production software, with proficiency in Python and working knowledge of at least one of TypeScript, Java, or C++
- Hands-on experience integrating models or AI/ML components into a production application, such as calling LLMs, building retrieval or agent tooling, or deploying a trained model
- A working understanding of ML evaluation: how to read results, spot regressions, and identify common causes of model failure
- Experience owning a defined piece of work through testing, release, and production debugging
- Strong problem-solving skills and a data-driven approach to iterating on models and datasets
- Clear written and verbal communication, including raising blockers and trade-offs early

## Nice to have

- A backend or full-stack engineering background, so you can work across the API, service, and data-schema layers of the systems you contribute to
- Experience with cloud ML platforms such as AWS, GCP, or Azure
- Exposure to agentic workflows, retrieval-augmented generation, or context engineering
- Experience handling regulated or sensitive data

Where this role sits

Your primary accountability covers production AI behaviour, its backend integration, and the evaluation required for a specific customer. Senior Full-Stack Engineers own the complete user-facing application and its infrastructure. ML Research Engineers lead novel agent architecture and the benchmark methodology used across accounts. The roles work together on agents and evaluation, with accountability set by the scope of the problem. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

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, Ernst & Young, 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 accommodations@scale.com. Please see the United States Department of Labor's [Know Your Rights poster](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) 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](https://scale.com/legal/privacy) for additional information.

## About Scale AI

## Company Overview
- **One-liner**: Scale AI provides high-quality data, RLHF, model evaluations, and full-stack AI infrastructure to help enterprises and governments build, deploy, and oversee reliable AI systems.
- **Entity Type**: Private (49% non‑voting stake owned by Meta Platforms as of June 2025; total funding $1.6B across eight rounds)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2016
- **Founders**: Alexandr Wang, Lucy Guo (Wang left in June 2025; current CEO is Jason Droege)

## Core Business
- **Primary industry**: AI infrastructure, data annotation, large language model (LLM) evaluation, enterprise AI deployment
- **Target customers**: B2B – Enterprise and government organizations; also serves leading AI labs (e.g., OpenAI, Google DeepMind, Meta, Microsoft, General Motors)
- **Mission**: “Develop reliable AI systems for the world's most important decisions.”

## Products & Services
- **Data at Scale**: High-quality training data, annotations, and RLHF for advanced AI models (SaaS + human-in-the-loop service)
- **Evaluations**: Rigorous model evaluations, benchmarking, and red‑teaming to measure and improve AI performance (service)
- **Applied AI**: Full‑stack AI systems that help enterprises and governments build, deploy, and oversee reliable AI (SaaS + consulting)
- **Safety, Evaluation and Alignment Lab**: Research arm focused on LLM alignment and safety (internal R&D; also co‑created the “Humanity's Last Exam” benchmark)
- **Subsidiaries**: Remotasks (computer vision and autonomous vehicle data labeling), Outlier (LLM data annotation)

## Market Standing
- **Valuation**: $29B (as of 2025 – cited on scale.com)
- **Key Metric**: Total Funding – $1.6B (including the $14B Meta investment that acquired a 49% non‑voting stake in June 2025)
- **Notable Investors/Partners**: Meta Platforms (49% owner), with commercial customers including Google, Microsoft, Meta, General Motors, OpenAI, and Time. Also works with U.S. and Qatari governments.
- **Growth Signals**:
  - Headcount: Scale.com cites “1,000+” employees; LinkedIn reports 3,751 employees (+32.1% YoY).
  - 90% of the world’s leading generative AI model builders are powered by Scale.
  - 15 billion human decisions used to train AI models; $1 billion paid to contributors globally.
  - Active job postings: 284+ (as of July 2025), with strong hiring in enterprise engineering, AI agents, and solutions roles.

## Competitive Advantages
- **Data moat**: Scale’s proprietary Data Engine and access to millions of human‑annotated decisions create high‑quality training data that competitors cannot easily replicate.
- **Trust & adoption**: Used by 90% of leading GenAI builders; runs private benchmarks for the most ambitious AI companies.
- **Government credibility**: Direct contracts with the U.S. Department of Defense and international governments (e.g., Qatar) – a high‑barrier entry point.
- **Full‑stack offering**: From raw data annotation to LLM evaluation and end‑to‑end applied AI deployment, Scale covers the entire AI lifecycle.
- **Research leadership**: In‑house Safety, Evaluation and Alignment Lab; co‑creator of the “Humanity's Last Exam” benchmark.

## Strategic Focus
- **Enterprise GenAI agents**: Ramping up “AgentOps” and “Frontier Agents” engineering teams (many open roles in SF, NY, London, Budapest).
- **Healthcare & life sciences**: Hiring dedicated GTM leaders and AI strategists for healthcare vertical.
- **International expansion**: Growing offices in London, Budapest, Mexico City, and Washington DC.
- **Safety and alignment**: Continued investment in red‑teaming, model evaluations, and government‑focused AI safety contracts.

## Why Work Here
- **Mission‑driven**: “Develop reliable AI systems for the world’s most important decisions” – directly shaping frontier AI capabilities.
- **Compensation & benefits**: Comprehensive health, dental, vision, mental health services; generous PTO; annual learning & development stipend; parental leave; ERGs; guest‑friendly offices with happy hours, game nights, book clubs.
- **Engineering culture**: Credos such as “Write the Market,” “Find the 20%,” “Earn Customer Love,” and “Quality is Our Cheat Code” emphasize impact over effort, customer obsession, and structured thinking.
- **Growth trajectory**: Rapid headcount growth (+32%), major Meta investment, and expansion into new verticals signal a company in high‑growth mode.
- **Flexible work**: Offices in SF, NY, London, Budapest, Mexico City, DC; the careers page highlights “flexible environment,” though specific remote/hybrid policy is not explicitly stated.

## Sources
1. [scale.com](https://scale.com/about)
2. [scale.com](https://scale.com/)
3. [scale.com/careers](https://scale.com/careers)
4. [linkedin.com](https://www.linkedin.com/company/scaleai)
5. [greenhouse.io](https://job-boards.greenhouse.io/scaleai)

## Other roles at Scale AI

- [Senior Applied AI Engineer](https://feeny.ai/job/senior-applied-ai-engineer-scale-ai-kuwait-city-a4pv76xxzxsn) — Kuwait City, Kuwait
- [US Executive Branch Policy & International Engagement Lead](https://feeny.ai/job/us-executive-branch-policy-international-engagement-lead-scale-ai-washington-yea4j76c082a) — Washington, DC
- [AI Policy Lead](https://feeny.ai/job/ai-policy-lead-scale-ai-new-york-5t22mbag1bcg) — New York, NY / San Francisco, CA / Washington, DC
- [Technical Revenue Accounting Manager](https://feeny.ai/job/technical-revenue-accounting-manager-scale-ai-san-francisco-hbcamg8ytv4b) — San Francisco, CA
- [Engagement Manager](https://feeny.ai/job/engagement-manager-scale-ai-kuwait-city-c5w1z8t2kgcc) — Kuwait City, Kuwait
- [Product Manager, AI Applications](https://feeny.ai/job/product-manager-ai-applications-scale-ai-kuwait-city-w6qx1z5e9y7x) — Kuwait City, Kuwait
- [Strategist](https://feeny.ai/job/strategist-scale-ai-kuwait-city-dyt8ymtjcrhp) — Kuwait City, Kuwait
- [Full-Stack Software Engineer, (Forward Deployed), GPS](https://feeny.ai/job/full-stack-software-engineer-forward-deployed-gps-scale-ai-kuwait-city-sv3xywcmx87h) — Kuwait City, Kuwait
- [Senior Full-Stack Software Engineer, (Forward deployed), GPS](https://feeny.ai/job/senior-full-stack-software-engineer-forward-deployed-gps-scale-ai-kuwait-city-9q1znyxa302j) — Kuwait City, Kuwait
- [Staff Software Engineer, AI Developer Tooling](https://feeny.ai/job/staff-software-engineer-ai-developer-tooling-scale-ai-san-francisco-g8fga75ggvhb) — San Francisco, CA / New York, NY