Staff Applied AI Engineer

scaleai·Londonlead

En corto

→Ingeniero de IA aplicada sênior que define estándares técnicos para sistemas de IA en sectores públicos.
→Día a día: crea arquitecturas seguras, evalúa modelos críticos y guía equipos en decisiones de IA responsable.
→Lo más destacado: actúas como voz técnica principal ante clientes de alto nivel y defiendes decisiones técnicas bajo presión.

Comfort operating with executive-level clients and leadership

✓ Gratis para empezar✓ Corre en tu navegador✓ Primer dossier sin tarjeta✓ Listo en ~1 minuto

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Tu primer dossier es gratis.

Las preguntas que te van a hacer

1. ¿Cómo diseñarías un sistema de evaluación de modelos para un agente de IA en un entorno regulado?

🔒 +7 preguntas más

Sin tarjeta. Subís tu CV y en ~1 minuto tenés el dossier completo.

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💵 USD · Remote · No visa

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¿Qué piden?

✓7+ años de experiencia en sistemas de IA/ML en producción
✓Experiencia en evaluación de datos de entrenamiento y ajuste de modelos
✓Liderazgo en productos de IA desde cero, con influencia directa en el comportamiento del modelo
✓Historial de establecer estándares duraderos (evaluación, MLOps, arquitectura)
✓Experiencia con despliegue regulado, soberano o en premisas (on-premise)
✓Capacidad de comunicarse con líderes ejecutivos y defender decisiones técnicas

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

MLOpsAgentes de IAFine-tuningEvaluación de modelosArquitecturas de producciónSistemas de auditoríaMitigación de hallucinacionesModelos de bajo costo y baja lGobernanza de IAIntegración backend

¿A quién escribirle en scaleai?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About the role Scale's Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. As a Staff Applied AI Engineer, you'll raise the bar for how AI gets built, governed, and evaluated across the team. You'll define standards that other engineers adopt, such as evaluation methodologies for agents and MLOps practices, while acting as the senior technical voice for the most sensitive AI decisions our clients face. What you'll do • Define standards for responsible AI, model governance, and production MLOps that get adopted broadly across the Global Public Sector team • Build or validate the highest-risk parts of strategic AI systems and use those systems to establish standards other teams can adopt. • Architect AI systems designed to prevent systemic failure, and lead the resolution of the most severe incidents tied to model safety or data integrity • Build reusable AI capabilities, such as production-ready agent implementations built on proven architectures, fine-tuned models, or evaluation methodologies, that other engineers and clients can build on • Advise on which new AI developments are worth adopting, and help set the technical roadmap for the domain • Act as the senior technical partner to client leadership on AI strategy • Coach Senior Applied AI Engineers, delegate ownership of technical domains, and build systems and practices that enable multiple teams to deliver safer AI • Contribute to recruiting and representing Scale's AI work externally What we look for • 7+ years of engineering experience, with a multi-year track record owning AI/ML systems in production • Experience judging the quality of training data, selecting the right adaptation method for a given model, evaluating fine-tuning results, and balancing serving cost, latency, and quality trade-offs • Experience owning an AI-powered product end to end, including direct involvement in the AI's behaviour rather than implementing ML work scoped by another team • A track record of establishing standards that outlived the projects they were built for, such as an evaluation methodology, an MLOps practice, or an architectural pattern • Comfort operating with executive-level clients and leadership, including defending a technical position under pressure • Deep experience with regulated, sovereign, or on-premise AI deployment, including hallucination mitigation and auditability 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. The Public Sector context Location, travel, and vetting requirements vary by assignment. Some UK assignments require BPSS screening and may require SC or DV clearance. Requirements depend on the account and each candidate's circumstances. We discuss assignment-specific eligibility early in the hiring process. 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 h

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