Frontier Agents Engineer

Join Scale AI as a Forward Deployed AI Engineer, where you'll be the technical bridge between our cutting-edge AI capabilities and our most strategic customers. In this hands-on role, you'll work directly with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. You'll collaborate with customer engineering teams, design and implement custom integrations, deploy AI models, and develop production-grade AI agents tailored to customer use cases. Additionally, you'll serve as the primary technical point of contact for strategic enterprise accounts and work closely with Scale's product and engineering teams.

• Collaborer directement avec les clients pour comprendre leurs infrastructures techniques, leurs pipelines de données et leurs exigences commerciales.
• Concevoir et mettre en œuvre des intégrations personnalisées entre la plateforme Scale AI et les environnements de données des clients.
• Déployer et configurer des modèles et des agents d'IA dans les limites de sécurité et de conformité des clients.
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
• Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
• 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences
• Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
• Experience building and deploying AI agents or autonomous systems in production
• Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures
• Knowledge of vector databases and semantic search systems
• Contributions to open-source AI/ML projects
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
• Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools
• Previous work in a devops, platform, or infra role
• Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA)
• Domain expertise in verticals like finance, healthcare, government, or manufacturing
• Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role
• Experience with technical enablement or teaching programs