Applied AI Engineer (Handshake AI Enterprise)

Join Handshake AI Enterprise as a Senior Applied AI Engineer and shape the future of careers in the AI economy. You'll work closely with world-class AI labs, Fortune 500 partners, and top educational institutions. Your role will involve embedding directly with enterprise customers, defining AI-driven solutions, building and deploying production-grade agents, and becoming a domain expert in your customer's vertical. You'll also establish engineering best practices and surface insights from deployments to inform Handshake's platform and product roadmap.

• Definir soluções impulsionadas por IA com base em necessidades reais de negócios, não em casos de uso teóricos.
• Construir e implantar agentes de produção adaptados a casos de uso específicos do cliente, assumindo a entrega de ponta a ponta.
• Tornar-se um especialista em domínio no setor do cliente e usar essa experiência para construir uma IA que continue a melhorar ao longo do tempo.
• If you've built AI that works in the real world and want to do it again at much higher stakes, with better data, closer lab relationships, and a founding team that moves fast, this is the role
• Real-world experience building and shipping AI applications in production, not just fine-tuning or prototyping
• Strong systems thinking, you can zoom out to the business problem and zoom in to the technical solution without losing either thread
• Strong understanding of agent architectures, evals, and how to measure and systematically improve AI performance
• High ownership mentality, you care about outcomes, not just outputs
• Comfort working directly with enterprise customers in ambiguous, high-stakes environments
• 5-6+ years of engineering experience, with strong applied AI and backend depth
• Strong communication skills, you'll be in the room with senior stakeholders regularly and need to earn their trust quickly
• Experience building multi-agent systems in production
• Background at a company with a forward deployment or field engineering model
• Domain expertise in a specific enterprise vertical (recruiting, finance, ops, legal, etc.)
• Familiarity with enterprise security requirements, VPC deployments, or on-prem configurations
• History of building evals infrastructure or AI quality measurement tooling