Senior Staff Frontier Agents Engineer

Join Scale AI as a Senior Staff Forward Deployed AI Engineer. In this hands-on technical role, you will 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 will collaborate with customer engineering teams, develop production-grade AI agents, create prompt engineering strategies, and provide technical leadership and collaboration. This position offers comprehensive health coverage, personal and career growth opportunities, and parental support.

• Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, and design and implement custom integrations between Scale AI's platform and customer data environments.
• Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, and architect multi-agent systems that orchestrate between different models, tools, and data sources.
• Serve as the primary technical point of contact for strategic enterprise accounts, collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration, and providing technical training and knowledge transfer to customer teams.
• Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
• 12+ 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
• Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
• 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)
• Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role
• Domain expertise in verticals like finance, healthcare, government, or manufacturing
• Experience with technical enablement or teaching programs